{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"c4d46c4de0b6","filters":{"venue":"2004 Meeting Papers"}},"results":[{"id":"W1481316776","doi":"","title":"Order Flow and the Formation of Dealer Bids in Treasury Auctions","year":2004,"lang":"en","type":"article","venue":"2004 Meeting Papers","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Common value auction; Treasury; Business; Order (exchange); Information flow; Private information retrieval; Government (linguistics); Commerce; Debt; Finance; Microeconomics; Economics; Computer security; Computer science","authors":[{"name":"Alı Hortaçsu","is_ca":false},{"name":"Samita Sareen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03580409211634371,"gpt":0.3167773678646871,"spread":0.2809732757483434,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001842238,0.00005929371,0.0001148255,0.0001106355,0.0001934285,0.00003363351,0.0001484853,0.00003781889,0.00007906436],"category_scores_gemma":[0.0009851631,0.00003616338,0.00004135809,0.0007317945,0.000234841,0.0001546636,0.00002345712,0.00007740566,0.00003839676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002466379,"about_ca_system_score_gemma":0.00003505301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008548055,"about_ca_topic_score_gemma":0.0001872545,"domain_scores_codex":[0.9990051,0.0001235967,0.0003550012,0.0001435007,0.0002744247,0.00009838035],"domain_scores_gemma":[0.9990969,0.0004329066,0.0001371836,0.000214163,0.00008897811,0.00002984617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003630807,0.0002340137,0.004750205,0.00002488255,0.00003731953,0.000001878445,0.0256617,0.4798293,0.008304154,0.2402973,0.00140941,0.2390868],"study_design_scores_gemma":[0.01303963,0.0001248602,0.04337845,0.0002715729,0.0001005026,0.0001347151,0.0446652,0.01593178,0.01038454,0.7980112,0.07319924,0.0007582766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813805,0.0003737942,0.02117934,0.009463236,0.0002404483,0.0005256622,0.00001320654,0.00006311173,0.0867607],"genre_scores_gemma":[0.9969098,0.00002577123,0.00237066,0.000135451,0.00002673086,0.00002468687,0.00000143909,0.000003839933,0.0005016517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5577139,"threshold_uncertainty_score":0.1487715,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1504190990","doi":"","title":"Caller Number Five: Timing Games that Morph From One Form to Another","year":2004,"lang":"en","type":"article","venue":"2004 Meeting Papers","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Unobservable; Observable; Attrition; Anticipation (artificial intelligence); Mathematical economics; Class (philosophy); Rank (graph theory); Computer science; Economics; Econometrics; Mathematics; Combinatorics; Artificial intelligence","authors":[{"name":"Andreas Park","is_ca":true},{"name":"Lones Smith","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03852561573876506,"gpt":0.2230670521256857,"spread":0.1845414363869207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002846678,0.0002042165,0.0003927985,0.00007236779,0.0001310955,0.00008504929,0.000241129,0.0001026094,0.002262873],"category_scores_gemma":[0.00006009327,0.0002411899,0.0001376227,0.00008788086,0.0000427422,0.0001696952,0.00007962321,0.0001260838,0.002366224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448156,"about_ca_system_score_gemma":0.00002160177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003889819,"about_ca_topic_score_gemma":0.0003153211,"domain_scores_codex":[0.9985865,0.000006291237,0.0004213227,0.0005095236,0.00003682638,0.0004395192],"domain_scores_gemma":[0.9992459,0.00005284803,0.0001962163,0.0003690502,0.00001311646,0.0001229015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003155028,0.0005880506,0.1120796,0.0001130855,0.00107889,0.00005368318,0.03671006,0.08822598,0.002556273,0.7365639,0.01078334,0.01093174],"study_design_scores_gemma":[0.006116283,0.0001788879,0.02513012,0.0005607202,0.00006337115,0.00001610652,0.003466223,0.0008063365,0.005565235,0.4589244,0.4961582,0.003014136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7088922,0.0004382206,0.001141231,0.002078965,0.0004633721,0.0002097555,0.0001394119,0.0000845096,0.2865523],"genre_scores_gemma":[0.9821554,0.00008942727,0.00734495,0.002154173,0.0002195558,0.00002668875,0.00001600195,0.00006194573,0.007931826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4853748,"threshold_uncertainty_score":0.9986492,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123969666","doi":"","title":"Plant Heterogeneity and Applied General Equilibrium Models of Trade: Lessons from the CA-US FTA","year":2004,"lang":"en","type":"article","venue":"2004 Meeting Papers","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Applied general equilibrium; Econometrics; General equilibrium theory; Free trade; Econometric model; International trade; Microeconomics","authors":[{"name":"Michael Rolleigh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05622673183843176,"gpt":0.2151414514309314,"spread":0.1589147195924996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002523822,0.0001687856,0.0003550849,0.00003537471,0.00009454863,0.00004965885,0.000241787,0.0001092793,0.00002655186],"category_scores_gemma":[0.00001539814,0.0001612969,0.00009134507,0.00007121629,0.00009953753,0.00008930551,0.00006329968,0.0001221535,0.00003136018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007560239,"about_ca_system_score_gemma":0.00002028726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002396229,"about_ca_topic_score_gemma":0.0004119548,"domain_scores_codex":[0.9987931,0.000008620254,0.0004693508,0.000382835,0.00003245434,0.0003136397],"domain_scores_gemma":[0.9993395,0.00004616043,0.0002291107,0.0002948423,0.000003909757,0.00008650021],"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":[0.0001425766,0.0003141655,0.06400353,0.00007953172,0.0005386596,0.000009947759,0.002478628,0.4721017,0.009547811,0.4483516,0.001409149,0.001022665],"study_design_scores_gemma":[0.02169061,0.0005221068,0.4260731,0.0003882688,0.0003221871,0.0001061449,0.002274861,0.0586111,0.03203686,0.3575554,0.09529728,0.00512211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676716,0.001976959,0.00003119165,0.001224142,0.0001785746,0.0001386147,0.0009603588,0.00002382199,0.02779473],"genre_scores_gemma":[0.9979928,0.0002767121,0.0008368721,0.0006647572,0.0001095047,0.000008958214,0.00006702696,0.00002089813,0.00002242951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4134906,"threshold_uncertainty_score":0.6577495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1531344682","doi":"","title":"Accounting for the Rise in Consumer Bankruptcies in the U.S. and Canada","year":2004,"lang":"en","type":"article","venue":"2004 Meeting Papers","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","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":"Bankruptcy; Population; Earnings; Collateralized debt obligation; Debt; Asset (computer security); Market liquidity; Economics; Business; Monetary economics; Accounting; Collateral; Finance","authors":[{"name":"Igor Livshits","is_ca":false},{"name":"James MacGee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008922182994602573,"gpt":0.2055141924505677,"spread":0.1965920094559651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069074,0.0001612334,0.0001756261,0.0001223793,0.0003387754,0.0002295862,0.0002689905,0.00004016724,0.00002753331],"category_scores_gemma":[0.0006504098,0.0001035128,0.00005108011,0.0004976461,0.00007662479,0.0002823624,0.00006757717,0.0001418454,0.000005339628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009238932,"about_ca_system_score_gemma":0.0000943427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6708333,"about_ca_topic_score_gemma":0.8939673,"domain_scores_codex":[0.9988095,0.00001527079,0.0003083058,0.0002418175,0.0002792843,0.0003457945],"domain_scores_gemma":[0.9992797,0.0003044688,0.0001532067,0.0001921238,0.00006445785,0.000006072718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002031588,0.00002170169,0.9924442,0.00007916616,0.000008006481,0.00001018278,0.0004606306,0.002137757,0.0001616361,0.002212694,0.001404483,0.001039229],"study_design_scores_gemma":[0.001683553,0.000006044706,0.7429714,0.00032333,0.0001349217,0.000002176373,0.005152684,0.002235033,0.00003221594,0.0007365923,0.246292,0.0004300229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922661,0.000968929,0.00000177654,0.002699784,0.0001637644,0.000407876,0.000002029173,0.00001805667,0.003471735],"genre_scores_gemma":[0.996434,0.00003760661,0.00009651948,0.003061144,0.0002424647,0.00004683846,0.000006899866,0.00001644214,0.00005809636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2494728,"threshold_uncertainty_score":0.4221131,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}