{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"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":"27b8360d6bf9","filters":{"venue":"Journal of Information Processing"}},"results":[{"id":"W2090740586","doi":"10.2197/ipsjjip.19.231","title":"Defining and Investigating Device Comfort","year":2011,"lang":"en","type":"article","venue":"Journal of Information Processing","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University; Carleton University; Communications Research Centre Canada","funders":"","keywords":"Computer science; Context (archaeology); Human–computer interaction; Mobile device; Work (physics); State (computer science); Context awareness; World Wide Web","authors":[{"name":"Stephen Marsh","is_ca":true},{"name":"Pam Briggs","is_ca":false},{"name":"Khalil El‐Khatib","is_ca":true},{"name":"Babak Esfandiari","is_ca":true},{"name":"John A. Stewart","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03043027330976246,"gpt":0.250170893830511,"spread":0.2197406205207485,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002558673,0.0007790023,0.0004673283,0.001123733,0.00182345,0.005784537,0.001286374,0.001901081,0.003705643],"category_scores_gemma":[0.00947442,0.0005968607,0.0009394094,0.0009950935,0.006283673,0.009372501,0.005996864,0.001845549,0.0005066654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966527,"about_ca_system_score_gemma":0.001077225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003845834,"about_ca_topic_score_gemma":0.001884562,"domain_scores_codex":[0.9962263,0.001525236,0.0003188872,0.0004809315,0.0009308085,0.0005177788],"domain_scores_gemma":[0.9941033,0.002600358,0.0008328128,0.0009905905,0.00112435,0.0003485712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001868833,0.00007742224,0.01066765,0.0006813296,0.00005275178,0.001060742,0.03359294,0.01140599,0.009957318,0.8900867,0.001438954,0.04079118],"study_design_scores_gemma":[0.00008467459,0.00124286,0.02974779,0.002184099,0.0002659019,0.006255195,0.05508754,0.164403,0.02653511,0.4517271,0.2620244,0.0004423138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2401016,0.003481897,0.6713257,0.002055529,0.0002055179,0.0003418428,0.0002638845,0.0003196051,0.0819044],"genre_scores_gemma":[0.9512351,0.0009092606,0.0419242,0.0002003617,0.00005606471,0.0001561452,0.00009392412,0.00005587565,0.005369196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005784537,"threshold_uncertainty_score":0.01426816,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3155866485","doi":"10.2197/ipsjjip.29.296","title":"Empirical Study on Dependency-related License Violation in the JavaScript Package Ecosystem","year":2021,"lang":"en","type":"article","venue":"Journal of Information Processing","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Japan Society for the Promotion of Science","keywords":"License; Dependency (UML); Computer science; JavaScript; Software; MIT License; Computer security; World Wide Web; Software engineering; Empirical research; Artifact (error); Reuse; Operating system; Artificial intelligence; Engineering","authors":[{"name":"Shi Qiu","is_ca":false},{"name":"Daniel M. Germán","is_ca":true},{"name":"Katsuro Inoue","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1032201568299612,"gpt":0.3939907377257572,"spread":0.290770580895796,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007814647,0.0002190889,0.0002457146,0.001923426,0.001183537,0.001550927,0.0008750511,0.0007457145,0.00193822],"category_scores_gemma":[0.0597516,0.0003695156,0.0002766159,0.002398049,0.001520702,0.002813968,0.001574175,0.001783692,0.0002721614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132932,"about_ca_system_score_gemma":0.001570733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005999886,"about_ca_topic_score_gemma":0.006983466,"domain_scores_codex":[0.9919472,0.003009493,0.0009590581,0.0007370921,0.002748998,0.0005982172],"domain_scores_gemma":[0.8583665,0.08010532,0.04225196,0.003963251,0.01214475,0.003168228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000043927,0.0003959437,0.9663966,0.0001066066,0.00001910588,0.0005710476,0.02106131,0.00008219035,0.0004160667,0.0004329593,0.0003520003,0.01012228],"study_design_scores_gemma":[0.00000717905,0.0001685663,0.9273489,0.0001315711,0.00003370352,0.0009965233,0.06548346,0.001561048,0.0009233427,0.0003525252,0.002965359,0.00002788041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987044,0.00004991867,0.0002911573,0.0001118683,0.0000021284,0.00001779795,0.00002804473,0.000002041982,0.0007924914],"genre_scores_gemma":[0.9990391,0.0001187623,0.0004011666,0.00005306605,0.000004550071,0.00002264019,0.00007130955,0.000004135127,0.0002853966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007814647,"threshold_uncertainty_score":0.04132831,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2176748244","doi":"10.2197/ipsjjip.23.554","title":"A Model for Adversarial Wiretap Channels and its Applications","year":2015,"lang":"en","type":"article","venue":"Journal of Information Processing","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Computer science; Secrecy; Adversarial system; Adversary; Alice and Bob; Secure communication; Channel (broadcasting); Computer network; Coding (social sciences); Secure coding; Secret sharing; Transmission (telecommunications); Computer security; Theoretical computer science; Cryptography; Telecommunications; Alice (programming language); Encryption; Artificial intelligence; Mathematics; Information security","authors":[{"name":"Reihaneh Safavi–Naini","is_ca":true},{"name":"Peng‐Wei Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0402689849275133,"gpt":0.2779475069577659,"spread":0.2376785220302526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001907507,0.001239954,0.000903681,0.001077367,0.001237356,0.002393339,0.002631722,0.003576309,0.006890859],"category_scores_gemma":[0.006818838,0.0006143826,0.001123096,0.001700475,0.004057757,0.00582647,0.002875776,0.005019178,0.001588373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002117019,"about_ca_system_score_gemma":0.00122161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002132032,"about_ca_topic_score_gemma":0.0008890108,"domain_scores_codex":[0.9975327,0.001002336,0.0001291071,0.0003825507,0.0006802701,0.0002729136],"domain_scores_gemma":[0.994783,0.003430556,0.0004965951,0.0006844535,0.0004025817,0.0002027446],"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":[0.00001749426,0.00001360229,0.00004336682,0.00003353849,0.00000612956,0.0000930988,0.00008749951,0.02992603,0.0004309317,0.9663726,0.001038566,0.001937193],"study_design_scores_gemma":[0.0000215366,0.00004487299,0.00004326387,0.00003976823,0.00001204294,0.0001666577,0.00005024894,0.3037327,0.0004952098,0.6863922,0.008975656,0.00002582867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006881241,0.0005394106,0.9706045,0.001535002,0.0001036608,0.0000735253,0.0002333173,0.0001357923,0.01989356],"genre_scores_gemma":[0.7513026,0.004881804,0.2005712,0.001138807,0.0007961271,0.001051969,0.0006337516,0.0002159104,0.03940788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006890859,"threshold_uncertainty_score":0.02305222,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W964026779","doi":"10.2197/ipsjjip.23.392","title":"A Classification of Intrusion Detection Systems in the Cloud","year":2015,"lang":"en","type":"article","venue":"Journal of Information Processing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Schlumberger Foundation","keywords":"Cloud computing; Computer science; Software deployment; Intrusion detection system; Scalability; Adaptability; Computer security; Architecture; Software engineering; Database; Operating system","authors":[{"name":"Marwa Elsayed","is_ca":true},{"name":"Mohammad Zulkernine","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03672456630860296,"gpt":0.2766936222549267,"spread":0.2399690559463238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001636038,0.0007478444,0.0006252972,0.008963003,0.00124006,0.004040067,0.001364554,0.00130142,0.001109507],"category_scores_gemma":[0.004695595,0.0003073197,0.0009576355,0.007568353,0.0009004935,0.003866866,0.001000028,0.001294091,0.0007190658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447067,"about_ca_system_score_gemma":0.0013709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002815792,"about_ca_topic_score_gemma":0.002149695,"domain_scores_codex":[0.9963767,0.0003744222,0.0006084848,0.0004893059,0.001694476,0.0004566112],"domain_scores_gemma":[0.9952722,0.001174515,0.0008602259,0.0005500012,0.001906836,0.0002361944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001856433,0.0003344478,0.0465928,0.001500599,0.0001101172,0.0006087263,0.0009216945,0.007384411,0.01168795,0.07522316,0.01444844,0.841002],"study_design_scores_gemma":[0.000067854,0.0008968784,0.1144953,0.003803608,0.0003957857,0.008714746,0.004554468,0.3025416,0.03466126,0.08287209,0.4466995,0.0002969003],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2507795,0.1327446,0.490264,0.01579422,0.002676948,0.002053504,0.001827772,0.003921945,0.09993766],"genre_scores_gemma":[0.6435198,0.07169943,0.2676133,0.001737186,0.001131003,0.0004933554,0.002506472,0.0002008185,0.0110986],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008963003,"threshold_uncertainty_score":0.01049924,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2178800862","doi":"10.2197/ipsjjip.23.570","title":"New Secret Sharing Schemes Realizing General Access Structures","year":2015,"lang":"en","type":"article","venue":"Journal of Information Processing","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Waterloo","keywords":"Computer science; Secret sharing; Access structure; Secure multi-party computation; Homomorphic secret sharing; Verifiable secret sharing; Computer security; Computer network; Theoretical computer science; Distributed computing; Cryptography","authors":[{"name":"Kouya Tochikubo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04172216416135151,"gpt":0.3144399746624166,"spread":0.2727178105010651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009659624,0.0004380372,0.0007784082,0.0007065985,0.0008291332,0.001348422,0.001244843,0.0009110785,0.00183122],"category_scores_gemma":[0.001656039,0.0003213125,0.0007425149,0.001117188,0.001267389,0.005159197,0.002553016,0.001297088,0.0003899784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000740908,"about_ca_system_score_gemma":0.0009134906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000243138,"about_ca_topic_score_gemma":0.0002214329,"domain_scores_codex":[0.9987075,0.0002593656,0.0001177502,0.000200905,0.0004595591,0.0002549],"domain_scores_gemma":[0.9985334,0.0002947733,0.0002385595,0.0005911954,0.0002232049,0.0001189176],"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":[0.0005596392,0.0001534346,0.0008166886,0.0003654058,0.0001260692,0.0003556398,0.0006745571,0.03255833,0.08594188,0.7660456,0.002555612,0.1098472],"study_design_scores_gemma":[0.0004318303,0.00067716,0.0009292362,0.0001094572,0.0001962656,0.001578051,0.00027109,0.3061373,0.08894984,0.5514055,0.0490853,0.0002290024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1450703,0.00129784,0.8396673,0.0004478671,0.0001941784,0.0002305491,0.0002270691,0.0005036317,0.01236119],"genre_scores_gemma":[0.8431501,0.0006881034,0.1505259,0.0001902519,0.00009933559,0.0001881509,0.0002295322,0.0000328789,0.004895789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00183122,"threshold_uncertainty_score":0.006126106,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386729590","doi":"10.2197/ipsjjip.31.550","title":"A Deeper Look into Deep Learning-based Output Prediction Attacks Using Weak SPN Block Ciphers","year":2023,"lang":"en","type":"article","venue":"Journal of Information Processing","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Banting and Best Diabetes Centre, University of Toronto","keywords":"Computer science; Block cipher; Linear cryptanalysis; Deep learning; Differential cryptanalysis; Cipher; Cryptanalysis; Cryptography; Artificial intelligence; Key (lock); Differential (mechanical device); Theoretical computer science; Algorithm; Computer security; Encryption","authors":[{"name":"Hayato Kimura","is_ca":false},{"name":"Keita Emura","is_ca":false},{"name":"Takanori Isobe","is_ca":false},{"name":"Ryoma Ito","is_ca":false},{"name":"Kazuto Ogawa","is_ca":false},{"name":"Toshihiro Ohigashi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01885369825610182,"gpt":0.2874010940473963,"spread":0.2685473957912944,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002995625,0.001084613,0.0009321727,0.001004976,0.000514882,0.001417199,0.001123379,0.001304706,0.002013467],"category_scores_gemma":[0.008517848,0.0004968409,0.00106996,0.0004516011,0.002775626,0.005121717,0.00166485,0.00339613,0.0003636239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128084,"about_ca_system_score_gemma":0.0007842634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006916404,"about_ca_topic_score_gemma":0.0005943134,"domain_scores_codex":[0.9976948,0.0007557946,0.0001231291,0.0002967899,0.0008573407,0.0002721464],"domain_scores_gemma":[0.9955302,0.002495874,0.0004271006,0.001041665,0.0004082519,0.00009696329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007364148,0.0002897189,0.005540457,0.000348567,0.0002524366,0.0004045279,0.0003053687,0.3685603,0.04844193,0.4661179,0.002869386,0.1061329],"study_design_scores_gemma":[0.00001715157,0.0001219191,0.0003905573,0.00003510779,0.00002337443,0.0001091746,0.00001787975,0.9310331,0.01586987,0.05129224,0.001066295,0.00002334743],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1259539,0.0008052645,0.8608297,0.002272584,0.0001606189,0.0001237389,0.00009080898,0.0007496215,0.00901378],"genre_scores_gemma":[0.9282886,0.0005800674,0.06742238,0.0003460053,0.00008744831,0.00005453515,0.00005248887,0.00007386393,0.00309465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002995625,"threshold_uncertainty_score":0.01584256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213240734","doi":"10.2197/ipsjjip.30.155","title":"Automatic Optimize-time Validation for Binary Optimizers","year":2022,"lang":"en","type":"article","venue":"Journal of Information Processing","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Binary number; Compatibility (geochemistry); Code (set theory); Binary code; Code coverage; Program optimization; Source code; Dead code; Redundant code; Programming language; Code generation; Set (abstract data type); Operating system; Software; Arithmetic","authors":[{"name":"Motohiro Kawahito","is_ca":false},{"name":"Reid Copeland","is_ca":true},{"name":"Toshihiko Koju","is_ca":false},{"name":"David Siegwart","is_ca":false},{"name":"Moriyoshi Ohara","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01353373715607724,"gpt":0.2568205463823833,"spread":0.243286809226306,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004561274,0.002026228,0.001181074,0.002149395,0.0007700238,0.001895122,0.002899928,0.001300298,0.004225542],"category_scores_gemma":[0.02437568,0.001434847,0.00156026,0.000952537,0.00134378,0.003546176,0.00228335,0.002111157,0.001696758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001348057,"about_ca_system_score_gemma":0.002473033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002176536,"about_ca_topic_score_gemma":0.00234322,"domain_scores_codex":[0.9882141,0.003520744,0.001065622,0.001593609,0.004585607,0.001020235],"domain_scores_gemma":[0.9696978,0.01044701,0.004186561,0.01005933,0.005208204,0.0004011446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00353832,0.0009416516,0.03437649,0.001406629,0.0004174531,0.0008403498,0.001027507,0.06402336,0.2238345,0.02056714,0.02436932,0.6246573],"study_design_scores_gemma":[0.0003009955,0.0008796665,0.009010457,0.0002365697,0.000231804,0.0007847724,0.0001226845,0.5781445,0.3698395,0.01208596,0.02807302,0.0002899682],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08296435,0.0005748293,0.8142666,0.0003408225,0.0002129387,0.0004091627,0.0004498844,0.09664445,0.004136993],"genre_scores_gemma":[0.5144867,0.0001879837,0.4656629,0.0005835468,0.00009211758,0.0005038165,0.001728354,0.01279177,0.003962812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004561274,"threshold_uncertainty_score":0.0241226,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092916815","doi":"10.2197/ipsjjip.28.919","title":"Mad Science is Provably Hard: Puzzles in Hearthstone's Boomsday Lab are NP-hard","year":2020,"lang":"en","type":"article","venue":"Journal of Information Processing","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Generalization; Computational complexity theory; Theoretical computer science; Algorithm; Mathematics","authors":[{"name":"Michael M. Hoffmann","is_ca":false},{"name":"Jayson Lynch","is_ca":true},{"name":"Andrew Winslow","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03635320821608718,"gpt":0.2868326374416269,"spread":0.2504794292255397,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008832024,0.0008334641,0.0009121964,0.0005227026,0.001449589,0.003275306,0.001550127,0.001758033,0.009170078],"category_scores_gemma":[0.01217203,0.0005252871,0.001268452,0.0006494983,0.002688318,0.005246314,0.003053499,0.005009184,0.0007613389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860845,"about_ca_system_score_gemma":0.001173338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003628883,"about_ca_topic_score_gemma":0.004407146,"domain_scores_codex":[0.9990786,0.0003006263,0.00003440672,0.0002137105,0.0001727028,0.0001999385],"domain_scores_gemma":[0.9926479,0.005536816,0.000424082,0.0005075326,0.0002151446,0.000668549],"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":[0.0008167612,0.0003788845,0.006159942,0.000374131,0.0001268251,0.0005373379,0.000700375,0.05300369,0.00297527,0.8408955,0.04579001,0.04824127],"study_design_scores_gemma":[0.0003004351,0.0002178491,0.005381481,0.00009113506,0.00006223448,0.0004724791,0.000571103,0.158306,0.003119521,0.8125288,0.01887926,0.00006976921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7730389,0.000972973,0.06121129,0.01443187,0.0003981189,0.0001975505,0.00120627,0.0006663842,0.1478767],"genre_scores_gemma":[0.9662421,0.0003701683,0.01778373,0.001072483,0.000152813,0.0001664477,0.0008599411,0.00007402395,0.01327831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009170078,"threshold_uncertainty_score":0.03067702,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}