{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":15,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":15,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"b2b2b7794918","filters":{"venue":"The Journal of Trading"}},"results":[{"id":"W3144753570","doi":"10.3905/jot.2006.628192","title":"Incorporating Trading Strategies in the Black-Litterman Framework","year":2006,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Black–Litterman model; Portfolio; Portfolio optimization; Post-modern portfolio theory; Modern portfolio theory; Application portfolio management; Simplicity; Computer science; Momentum (technical analysis); Portfolio insurance; Black swan theory; Replicating portfolio; Economics; Project portfolio management; Financial economics; Mathematics; Management","authors":[{"name":"Frank J. Fabozzi","is_ca":false},{"name":"Sergio M. Focardi","is_ca":true},{"name":"Petter N. Kolm","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06682745858932787,"gpt":0.3569783572063802,"spread":0.2901508986170523,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003617859,0.001023417,0.0008836885,0.0007760607,0.0005038636,0.001936395,0.001126276,0.001577275,0.002656352],"category_scores_gemma":[0.004689178,0.000550878,0.0007084389,0.0006615818,0.001746923,0.004316139,0.001712665,0.001179183,0.000503002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008332994,"about_ca_system_score_gemma":0.0009518593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008408517,"about_ca_topic_score_gemma":0.0007625794,"domain_scores_codex":[0.9987382,0.000697947,0.00004310867,0.0001474036,0.0002753071,0.00009801645],"domain_scores_gemma":[0.9987777,0.0005865662,0.0002341588,0.0001441104,0.0001246802,0.0001327304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004001801,0.00007276407,0.0005407754,0.00003019652,0.00003443444,0.0001482621,0.00005588408,0.2559428,0.001535317,0.72612,0.0003959373,0.01508357],"study_design_scores_gemma":[0.00001078589,0.00004325802,0.0001172572,0.000007676961,0.000009232106,0.00003521397,0.000007632708,0.7674068,0.000282574,0.2312925,0.0007725284,0.00001455437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02584648,0.000283545,0.9663892,0.0002965512,0.00006186162,0.00002183509,0.00002161506,0.0001103769,0.006968547],"genre_scores_gemma":[0.7562788,0.0007735479,0.2310026,0.000222781,0.0001609078,0.0001093625,0.00005106979,0.00007898741,0.01132196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003617859,"threshold_uncertainty_score":0.01913327,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106871683","doi":"10.3905/jot.2012.7.1.018","title":"Adverse Selection in a High-Frequency Trading Environment","year":2011,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Adverse selection; Block (permutation group theory); Market liquidity; Selection (genetic algorithm); Computer science; Portfolio; Equity (law); Business; Actuarial science; Machine learning; Mathematics; Finance","authors":[{"name":"Milos Agatonovic","is_ca":true},{"name":"Vimal Patel","is_ca":true},{"name":"Chris Sparrow","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0465667041229493,"gpt":0.1913389903059375,"spread":0.1447722861829882,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006356272,0.0003158492,0.0005941874,0.0008067899,0.0005499439,0.001957801,0.000563771,0.0005890078,0.002727056],"category_scores_gemma":[0.03477887,0.0002006599,0.000442373,0.0007592107,0.002101372,0.001948493,0.001405722,0.0008966821,0.000194253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000613372,"about_ca_system_score_gemma":0.0003981558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000596085,"about_ca_topic_score_gemma":0.0007973569,"domain_scores_codex":[0.9927524,0.003628465,0.0003906495,0.0008980049,0.001825677,0.0005047373],"domain_scores_gemma":[0.9152853,0.05401666,0.01837672,0.008657617,0.002386837,0.001276933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002591989,0.001194018,0.4523686,0.0001990803,0.0005145679,0.002262845,0.001524023,0.2359403,0.02787811,0.1534784,0.00352588,0.1185221],"study_design_scores_gemma":[0.000126851,0.001201655,0.1559965,0.00003656186,0.00009387163,0.0008921322,0.0006902547,0.6563905,0.01346928,0.1687957,0.002183848,0.0001227561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343678,0.00005594143,0.0611647,0.0001836188,0.00002445374,0.00005327416,0.00007452043,0.000112823,0.003962912],"genre_scores_gemma":[0.9954047,0.00001747585,0.004005123,0.00003993378,0.00001588339,0.00001949823,0.00004697024,0.000008482598,0.0004419202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006356272,"threshold_uncertainty_score":0.03361559,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127847490","doi":"10.3905/jot.2007.694833","title":"Anonymity, Frontrunning and Market Integrity","year":2007,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Anonymity; Business; Blockchain; Internet privacy; Law and economics; Computer security; Computer science; Economics","authors":[{"name":"Carole Comerton‐Forde","is_ca":false},{"name":"Kar Mei Tang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04047810773319774,"gpt":0.2339907925402465,"spread":0.1935126848070488,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002552193,0.0001611123,0.0003210072,0.001216643,0.001316999,0.003477082,0.0004634844,0.0006675597,0.00471494],"category_scores_gemma":[0.02302775,0.0001602208,0.0002098271,0.001115109,0.003397229,0.003412907,0.001474856,0.0007271833,0.000405013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108559,"about_ca_system_score_gemma":0.001055254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005111154,"about_ca_topic_score_gemma":0.005125409,"domain_scores_codex":[0.9971282,0.001032224,0.0002510109,0.0002514359,0.001016798,0.000320313],"domain_scores_gemma":[0.9530825,0.01831036,0.0196606,0.005319941,0.002320361,0.001306252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002048582,0.0004837735,0.5688106,0.0003179115,0.0002557189,0.001591849,0.0184078,0.00694428,0.00918692,0.1389813,0.00306369,0.2499076],"study_design_scores_gemma":[0.0001175134,0.000718685,0.7415917,0.0002558879,0.0002005397,0.002676862,0.01623817,0.01586913,0.0113672,0.1768294,0.03392692,0.0002080492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728478,0.0007395556,0.004331574,0.0007902206,0.00001513302,0.00001600821,0.00009191799,0.00003611313,0.02113172],"genre_scores_gemma":[0.9984693,0.00008892941,0.0003661437,0.00001904531,0.00001188688,0.000001677384,0.00002098385,0.00000357604,0.001018504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005111154,"threshold_uncertainty_score":0.01577306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061587775","doi":"10.3905/jot.2007.682140","title":"Who Wants to Dance?","year":2007,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Risk–return spectrum; Stock exchange; Business; Portfolio; Attractiveness; Modern portfolio theory; Scope (computer science); Financial economics; Stock (firearms); Investment banking; Profit (economics); Finance; Economics; Microeconomics; Geography; Computer science","authors":[{"name":"Thomas Miller","is_ca":false},{"name":"Michael S. Pagano","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04433353526881054,"gpt":0.2399056635211063,"spread":0.1955721282522958,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001625332,0.0003664079,0.0004729236,0.0006229818,0.006016876,0.006506562,0.0008125915,0.002709191,0.06987698],"category_scores_gemma":[0.005987018,0.0001861262,0.0003382897,0.0005714178,0.003964013,0.005397894,0.002698919,0.003394694,0.02112777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215155,"about_ca_system_score_gemma":0.001609762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005912022,"about_ca_topic_score_gemma":0.01326298,"domain_scores_codex":[0.9985638,0.0005921055,0.00002929236,0.0002501789,0.0001700084,0.0003946858],"domain_scores_gemma":[0.9977379,0.0002881273,0.0001638297,0.0001114787,0.000266995,0.001431653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002135399,0.0002614693,0.02379278,0.0002059163,0.00005047307,0.001115353,0.03489371,0.0002724275,0.0005913448,0.1527183,0.5487696,0.2371151],"study_design_scores_gemma":[0.00002468111,0.0000595846,0.00733729,0.000397275,0.00001889124,0.000946281,0.07056183,0.0004518763,0.0001847727,0.05969194,0.8602732,0.00005230564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05876013,0.007123211,0.003595028,0.2860324,0.005634432,0.00006894358,0.0003776581,0.0002409233,0.6381672],"genre_scores_gemma":[0.5011261,0.005742987,0.002696574,0.05752504,0.001388221,0.0001374635,0.0003739471,0.0002313897,0.4307782],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06987698,"threshold_uncertainty_score":0.2337617,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3121860635","doi":"10.3905/jot.2007.694832","title":"The Transaction Costs of Risk Management vs. Speculation in an Electronic Trading Environment","year":2007,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Medicine; Odds ratio; Logistic regression; Economic shortage; Vital signs; Emergency medicine; Internal medicine; Odds; Family medicine; Surgery","authors":[{"name":"Lorne N. Switzer","is_ca":true},{"name":"Haibo Fan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01191198204735114,"gpt":0.2660951753124861,"spread":0.2541831932651349,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00633567,0.0005165075,0.0005915366,0.00101059,0.001114122,0.006045533,0.001395735,0.001921618,0.04688937],"category_scores_gemma":[0.04100638,0.00053383,0.0007051707,0.001084076,0.001538149,0.008118924,0.003000646,0.002444381,0.001541032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002580995,"about_ca_system_score_gemma":0.002665201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004479364,"about_ca_topic_score_gemma":0.002924298,"domain_scores_codex":[0.9952291,0.002866954,0.0002385814,0.000399581,0.0006190414,0.0006467225],"domain_scores_gemma":[0.943661,0.04329681,0.006085252,0.002741792,0.001816793,0.002398434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004967822,0.002890617,0.1769597,0.0005060555,0.0003761415,0.002839773,0.001144022,0.2634903,0.001873509,0.2289264,0.02220972,0.2938161],"study_design_scores_gemma":[0.0005380664,0.002010623,0.0461541,0.0003997415,0.0002353855,0.001526603,0.004930846,0.7123851,0.00147893,0.2177378,0.01239628,0.0002066434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8390346,0.001476264,0.04001212,0.01445267,0.0002734129,0.0005007285,0.0009600482,0.0003344721,0.1029557],"genre_scores_gemma":[0.9924074,0.0002055743,0.00307901,0.0001502836,0.00006318238,0.00004409882,0.0001126888,0.00001587885,0.00392195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04688937,"threshold_uncertainty_score":0.1568605,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2160622038","doi":"10.3905/jot.2009.4.3.087","title":"TCA Benchmarks: <i>One or Many?</i>","year":2009,"lang":"he","type":"article","venue":"The Journal of Trading","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadians Living with HIV","funders":"","keywords":"Benchmark (surveying); Computer science; Simplicity; Order (exchange); Process (computing); Trading strategy; Database transaction; Econometrics; Business; Economics; Database; Finance","authors":[{"name":"Chris Sparrow","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6057244644135725,"gpt":0.554667195559239,"spread":0.05105726885433348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0360618,0.001736826,0.001731606,0.008188274,0.002187932,0.01821805,0.004206866,0.003820074,0.01140106],"category_scores_gemma":[0.1333694,0.0005633042,0.001232407,0.01775538,0.003846066,0.01484985,0.003978493,0.00464771,0.006694421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005722775,"about_ca_system_score_gemma":0.004973269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005835759,"about_ca_topic_score_gemma":0.008568828,"domain_scores_codex":[0.955369,0.02031857,0.00366253,0.001551,0.01791069,0.001188115],"domain_scores_gemma":[0.9165124,0.02996241,0.007409031,0.008937781,0.03466079,0.002517509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002305164,0.0002239382,0.007521073,0.001256307,0.000167448,0.00009022004,0.0006604111,0.003463299,0.0008449483,0.3234369,0.329947,0.3321579],"study_design_scores_gemma":[0.0001546445,0.0005366719,0.01054826,0.003642161,0.0001607404,0.0003153653,0.003087871,0.03000436,0.003224262,0.4728977,0.4750356,0.0003922484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02838401,0.055466,0.3433968,0.2271008,0.02107397,0.001512195,0.008461601,0.005784352,0.3088202],"genre_scores_gemma":[0.4514568,0.02575733,0.4092612,0.03961999,0.01075562,0.004079023,0.009440463,0.003178042,0.04645157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0360618,"threshold_uncertainty_score":0.1907153,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2680592456","doi":"10.3905/jot.2017.12.3.037","title":"Defeating the VPIN: <i>Slipping into the Noise</i>","year":2017,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Pooling; Order (exchange); Position (finance); Econometrics; Computer science; Actuarial science; Economics; Business; Artificial intelligence; Finance","authors":[{"name":"E. Dan Glikstein","is_ca":true},{"name":"Lawrence Kryzanowski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04972936271580718,"gpt":0.2385333643092729,"spread":0.1888040015934657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008493162,0.0008008144,0.0007300621,0.001084416,0.0004795161,0.002232945,0.00128989,0.001612861,0.0009781184],"category_scores_gemma":[0.06266101,0.0003305965,0.0004547973,0.0007412681,0.002241049,0.002646967,0.002005542,0.001398056,0.0002130896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008766435,"about_ca_system_score_gemma":0.0009732062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549532,"about_ca_topic_score_gemma":0.0008844858,"domain_scores_codex":[0.996268,0.001714549,0.0002135516,0.0005530953,0.001026328,0.0002245308],"domain_scores_gemma":[0.9406321,0.04438106,0.006946138,0.005291191,0.001850403,0.0008991075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001673235,0.0003470569,0.05631572,0.0002949187,0.0005761067,0.0004316873,0.0005182333,0.7897012,0.01649662,0.05707655,0.002276725,0.07429198],"study_design_scores_gemma":[0.00004209888,0.0004802128,0.004786302,0.00002878093,0.00003880461,0.0001810577,0.00006519879,0.9633094,0.01075909,0.01982423,0.0004261164,0.00005866808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6859227,0.0004731979,0.3072181,0.0007432023,0.0001740035,0.000113735,0.0002674628,0.0005676615,0.004519918],"genre_scores_gemma":[0.9817777,0.00006707347,0.01757557,0.00008438113,0.00003034275,0.00003290532,0.0001222947,0.00003806403,0.0002718072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008493162,"threshold_uncertainty_score":0.04491663,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2084279228","doi":"10.3905/jot.2011.6.3.052","title":"Mimicking Investment Strategies in Tender Offers: <i>A Microstructure Approach</i>","year":2011,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University","funders":"","keywords":"Tender offer; Order (exchange); Investment (military); Business; Sample (material); Information leakage; Economics; Monetary economics; Financial economics; Finance; Statistics","authors":[{"name":"Igor Semenenko","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0458661082211877,"gpt":0.2055158876203054,"spread":0.1596497793991177,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008972229,0.0003856632,0.0009188881,0.001164003,0.0006134462,0.002551411,0.0009851322,0.001352193,0.005773786],"category_scores_gemma":[0.06633093,0.0004824992,0.0005955716,0.001792904,0.001183796,0.002614078,0.001013491,0.001520641,0.000911914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343674,"about_ca_system_score_gemma":0.0005738652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002607968,"about_ca_topic_score_gemma":0.004230501,"domain_scores_codex":[0.995817,0.001964119,0.0002581209,0.0005378257,0.001014199,0.0004088596],"domain_scores_gemma":[0.9431397,0.03489502,0.01524397,0.00445925,0.001327569,0.0009344943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005222139,0.002190669,0.7082093,0.0003986772,0.0007250076,0.001298119,0.003297306,0.06209646,0.007990093,0.08509788,0.006498688,0.1169757],"study_design_scores_gemma":[0.0003762021,0.002275801,0.6518759,0.00009560019,0.0004427355,0.0007724236,0.002262527,0.250656,0.007103631,0.07562468,0.008327791,0.0001867361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797683,0.0002969985,0.01343903,0.0004984156,0.00002614241,0.0001799385,0.0006313061,0.00006632061,0.005093369],"genre_scores_gemma":[0.9954745,0.0001118879,0.001974594,0.00006497052,0.00004742957,0.00004168973,0.0005073175,0.00001144652,0.001766195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008972229,"threshold_uncertainty_score":0.04745024,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2093998806","doi":"10.3905/jot.2013.8.4.054","title":"The Effect of Brokers on the Dynamics of a Walrasian Auction","year":2013,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Market liquidity; Microeconomics; Common value auction; Profit (economics); Volatility (finance); Economics; Economic surplus; General equilibrium theory; Walrasian auction; Monetary economics; Business; Finance; Revenue equivalence; Auction theory; Market economy","authors":[{"name":"Philippe Grégoire","is_ca":true},{"name":"James Eaves","is_ca":true},{"name":"Michel Gendron","is_ca":true},{"name":"Manel Kammoun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01433950802757245,"gpt":0.1939590882668569,"spread":0.1796195802392845,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005730956,0.0005464236,0.001341252,0.0005324338,0.0009112075,0.003753525,0.0008379598,0.001619868,0.008080748],"category_scores_gemma":[0.04129058,0.0005238573,0.0005113741,0.0004391527,0.001543034,0.003471903,0.001561711,0.001716768,0.0005808721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007427114,"about_ca_system_score_gemma":0.0008696338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001733205,"about_ca_topic_score_gemma":0.0008381918,"domain_scores_codex":[0.9971474,0.001586823,0.0002255569,0.0003565861,0.0003278875,0.0003557281],"domain_scores_gemma":[0.9450054,0.03693969,0.00941436,0.003972987,0.001470902,0.003196678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0378897,0.01084426,0.1535875,0.001075589,0.001075016,0.003999196,0.006087434,0.2907841,0.205092,0.1945676,0.005050133,0.08994741],"study_design_scores_gemma":[0.004320853,0.007002586,0.04131551,0.00007549198,0.0005506379,0.0007004496,0.00244877,0.8506367,0.01669524,0.0724842,0.003490546,0.0002790569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923344,0.0001327049,0.003803255,0.0003015836,0.00002942799,0.0000342044,0.00003605648,0.00005569018,0.003272597],"genre_scores_gemma":[0.9984019,0.00004235667,0.0009581376,0.00002579633,0.00001340428,0.0000124535,0.0000158572,0.000007388378,0.0005226085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008080748,"threshold_uncertainty_score":0.03030854,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1856119153","doi":"10.3905/jot.v7i3.314","title":"Representativeness Heuristic Can Cause Asset Price Underreaction to New Information in a Competitive Securities Market","year":2012,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Representativeness heuristic; Stochastic game; Asset (computer security); Basis risk; Microeconomics; Heuristic; Capital asset pricing model; Economics; Financial economics; Actuarial science; Econometrics; Business; Computer science; Computer security","authors":[{"name":"Guo Ying Luo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05081257216172864,"gpt":0.2580370381680662,"spread":0.2072244660063375,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003230345,0.0004878534,0.001047061,0.0005382608,0.000588886,0.002076823,0.0007193044,0.001877981,0.00311239],"category_scores_gemma":[0.01898166,0.0004116481,0.001026978,0.0002862803,0.002061521,0.00271521,0.001114348,0.00212972,0.0001873896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00093242,"about_ca_system_score_gemma":0.0008186455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008388867,"about_ca_topic_score_gemma":0.0004335131,"domain_scores_codex":[0.9986882,0.000392211,0.0001100696,0.000249855,0.0003319953,0.0002275618],"domain_scores_gemma":[0.9875296,0.00611887,0.003691765,0.00134973,0.000700777,0.0006091624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001418848,0.0008212862,0.04144657,0.000378748,0.0007108555,0.007447692,0.00168148,0.132646,0.06222853,0.7055441,0.003874174,0.04180168],"study_design_scores_gemma":[0.0002838479,0.0005405376,0.014828,0.00002319912,0.0002096946,0.001590214,0.0004245162,0.4401764,0.01036101,0.529593,0.001825192,0.0001444362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8788395,0.0002945831,0.1065887,0.001715686,0.0001070498,0.00008245804,0.0000596077,0.0002401515,0.01207227],"genre_scores_gemma":[0.9959614,0.00007272624,0.002889337,0.0001232562,0.00003002809,0.00001557786,0.00001107279,0.00001119669,0.0008855272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003230345,"threshold_uncertainty_score":0.01708394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2055813894","doi":"10.3905/jot.2015.10.2.103","title":"What Is Wrong with Canada’s Capital Markets?","year":2015,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Capital market; High-frequency trading; Business; Financial market; Capital (architecture); Quality (philosophy); Representation (politics); Level playing field; Trading strategy; Market economy; Algorithmic trading; Commerce; Industrial organization; Monetary economics; Finance; Economics; Law; Computer science","authors":[{"name":"Jos Schmitt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02635007841845029,"gpt":0.2613108676980269,"spread":0.2349607892795766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003749875,0.0005180417,0.0006025597,0.001736446,0.02351363,0.01804901,0.003361629,0.007571904,0.01633072],"category_scores_gemma":[0.02042409,0.0003270167,0.0006320158,0.003517188,0.01033314,0.007633738,0.002395011,0.007684869,0.001055026],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1352222,"about_ca_system_score_gemma":0.2915777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956541,"about_ca_topic_score_gemma":0.9961433,"domain_scores_codex":[0.9928001,0.0006204792,0.0001457262,0.0005792605,0.00295244,0.002902051],"domain_scores_gemma":[0.988252,0.001095447,0.0004040012,0.0003870457,0.006338494,0.003523097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006617155,0.00004951801,0.009789801,0.0001586627,0.0000640881,0.0004049147,0.003187831,0.0006583919,0.0001792419,0.4686748,0.4668977,0.04986886],"study_design_scores_gemma":[0.00006843734,0.00003084021,0.02483902,0.0007455162,0.00007539861,0.0001941109,0.01394896,0.001599659,0.0004539462,0.0844131,0.8733925,0.0002384605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0191047,0.008782687,0.000730505,0.8395647,0.002634451,0.00003328359,0.001058595,0.000102623,0.1279885],"genre_scores_gemma":[0.6691971,0.01412718,0.002491398,0.1964615,0.00138434,0.00005169822,0.0007769897,0.0002076005,0.1153022],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8647779,"threshold_uncertainty_score":0.98111,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102998536","doi":"10.3905/jot.2009.4.2.058","title":"Corporate Culture's Role in the Trading Process","year":2009,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Global Affairs Canada; Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Electronic trading; Alternative trading system; Trading strategy; Investment strategy; Trading turret; Business; Process (computing); Portfolio; Investment (military); Commerce; Order (exchange); Marketing; Industrial organization; Open outcry; Algorithmic trading; Finance; Computer science; Law","authors":[{"name":"Jeff Brown","is_ca":true},{"name":"Doug Crocker","is_ca":false},{"name":"Vidis Vaiciunas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08418296990294605,"gpt":0.2907400162983602,"spread":0.2065570463954142,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008764043,0.0002191086,0.0002458852,0.001480239,0.003973006,0.01747947,0.0006860979,0.0009410066,0.001769833],"category_scores_gemma":[0.0205402,0.0002359639,0.0001356866,0.002007977,0.01636852,0.004204954,0.003942599,0.002844193,0.0002393005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003124924,"about_ca_system_score_gemma":0.003598887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004937744,"about_ca_topic_score_gemma":0.004187353,"domain_scores_codex":[0.9878129,0.007825806,0.0003576998,0.0005942234,0.002585876,0.000823352],"domain_scores_gemma":[0.9730194,0.01608314,0.003823672,0.001345116,0.002780366,0.002948351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008932711,0.0001717944,0.07431535,0.0001836047,0.0001203285,0.0004347477,0.2302903,0.0007436299,0.0009068922,0.555012,0.009278881,0.1284532],"study_design_scores_gemma":[0.00004721907,0.0002385466,0.1507667,0.00142497,0.0001114311,0.0009385311,0.289124,0.004122079,0.001770441,0.3154863,0.2357182,0.0002518202],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5915283,0.006578684,0.01470519,0.04502263,0.0007458725,0.00006295386,0.00009286957,0.00008909952,0.3411745],"genre_scores_gemma":[0.9962843,0.0007722726,0.0006383379,0.0009371124,0.00007829005,0.000008741114,0.000006467959,0.00001414997,0.001260315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01747947,"threshold_uncertainty_score":0.04634923,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4241164073","doi":"10.3905/jot.2009.4.2.086","title":"Are You Better Off Trading Blocks in Volatile Markets? <i>Yes</i>","year":2009,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadians Living with HIV","funders":"","keywords":"Diabetic ketoacidosis; Medicine; Diabetes mellitus; Insulin; Ketone bodies; Blood pressure; Ketoacidosis; Endocrinology; Vomiting; Internal medicine; Urinary system; Anesthesia; Type 1 diabetes; Metabolism","authors":[{"name":"Chris Sparrow","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0218114820225613,"gpt":0.2643598765139404,"spread":0.2425483944913791,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00137361,0.0004788164,0.0005198568,0.0005664612,0.001616105,0.004517229,0.000650642,0.003511825,0.02125688],"category_scores_gemma":[0.01440087,0.0001752795,0.0004476942,0.0008579146,0.001615414,0.006365763,0.0009041043,0.003138741,0.008368637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008708959,"about_ca_system_score_gemma":0.0008005263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0030906,"about_ca_topic_score_gemma":0.007323215,"domain_scores_codex":[0.9992168,0.0002800881,0.00006125554,0.00009896816,0.0002094844,0.0001333788],"domain_scores_gemma":[0.9951806,0.002080379,0.0008521936,0.0001537035,0.001094944,0.0006381521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000188303,0.0001133073,0.02814766,0.0003285495,0.00003733586,0.0002628165,0.002707976,0.0001334236,0.0004145861,0.01080455,0.8410463,0.1158152],"study_design_scores_gemma":[0.00004248308,0.0003638253,0.05248185,0.00138147,0.0000485253,0.001305348,0.02353785,0.0005344331,0.0009087798,0.01896011,0.900305,0.0001303028],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02965747,0.02233086,0.002336985,0.8292757,0.01442298,0.00005205017,0.000498482,0.0002395368,0.1011859],"genre_scores_gemma":[0.2690832,0.04082865,0.004740537,0.5389649,0.01902815,0.0001703664,0.001051359,0.0003350965,0.1257977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02125688,"threshold_uncertainty_score":0.07111138,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4230860542","doi":"10.3905/jot.2007.694824","title":"Editor's Letter","year":2007,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Order (exchange); Compromise; Profitability index; Transaction cost; Financial economics; Economics; Business; Accounting; Finance; Political science; Law","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0286311151477232,"gpt":0.2184121897087742,"spread":0.189781074561051,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003493395,0.001471391,0.001318364,0.001220353,0.002788165,0.005867394,0.002863529,0.01743217,0.06843983],"category_scores_gemma":[0.03064627,0.000634442,0.001640563,0.0007529918,0.001579723,0.004126462,0.002021301,0.01531179,0.04253738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889513,"about_ca_system_score_gemma":0.003677375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023306,"about_ca_topic_score_gemma":0.001811501,"domain_scores_codex":[0.9969226,0.0003664492,0.0003531964,0.0006082641,0.001282698,0.0004668292],"domain_scores_gemma":[0.9870451,0.002744843,0.0007346468,0.0007587075,0.006259209,0.002457451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001356538,0.00001064818,0.00005349207,0.00003415691,0.000003392365,0.0001733736,0.0000121951,0.00001286495,0.00003168082,0.000393048,0.9925619,0.006699677],"study_design_scores_gemma":[0.00001694988,0.00001543104,0.0002002445,0.00009932723,0.000005513159,0.000323671,0.00005272609,0.00004664836,0.00008172883,0.0007724703,0.9983753,0.000009977388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001703476,0.00208669,0.0002169362,0.2081337,0.7806764,0.00002895643,0.0001264543,0.0001577587,0.00840274],"genre_scores_gemma":[0.003079419,0.003058159,0.0005458224,0.3559794,0.5686294,0.00008577003,0.0001565237,0.0001623852,0.0683031],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06843983,"threshold_uncertainty_score":0.228954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123459721","doi":"10.3905/jot.2018.13.3.013","title":"Retail Order Flow Segmentation","year":2018,"lang":"en","type":"preprint","venue":"The Journal of Trading","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Business; Order (exchange); Stock exchange; Quality (philosophy); Finance; Industrial organization","authors":[{"name":"Corey Garriott","is_ca":true},{"name":"Adrian Walton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02920002807272654,"gpt":0.229196860484841,"spread":0.1999968324121145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004706642,0.0003855731,0.0005798001,0.001095468,0.0005825828,0.002695408,0.001015054,0.0008594291,0.03260566],"category_scores_gemma":[0.003496967,0.0003594082,0.0006040829,0.001543474,0.0004073372,0.002147908,0.0008348751,0.0009218748,0.003349909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245501,"about_ca_system_score_gemma":0.001063681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009609806,"about_ca_topic_score_gemma":0.00754702,"domain_scores_codex":[0.9992512,0.00009872666,0.00005205075,0.0001846241,0.0002239539,0.0001894362],"domain_scores_gemma":[0.9988223,0.0003785521,0.00009566341,0.0002492377,0.0003436489,0.0001106209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002278223,0.0008946839,0.04596462,0.0002638348,0.0001361945,0.0007751399,0.0008747499,0.564637,0.01149036,0.1523851,0.0589332,0.1613669],"study_design_scores_gemma":[0.0001462737,0.0001116614,0.009851605,0.00004502133,0.00003644965,0.0001616741,0.0002914581,0.9055512,0.006840023,0.04838556,0.02852455,0.00005450128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6693267,0.0005770176,0.1458977,0.0009190602,0.0003422262,0.0006520672,0.01528199,0.005084282,0.161919],"genre_scores_gemma":[0.9421328,0.0001548413,0.02857274,0.0001459473,0.00003560686,0.0001254708,0.01125397,0.0005361277,0.01704252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03260566,"threshold_uncertainty_score":0.1090769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}