{"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":"6bfbd87c9d78","filters":{"venue":"Michigan Technology Law Review"}},"results":[{"id":"W158384962","doi":"","title":"Paper Tigers: Rethinking the Relationship between Copyright and Scholarly Publishing","year":2011,"lang":"en","type":"article","venue":"Michigan Technology Law Review","topic":"Copyright and Intellectual Property","field":"Business, Management and Accounting","cited_by":5,"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":"Doctrine; Publishing; Elite; Political science; Incentive; Law; Public relations; Law and economics; Sociology; Economics; Politics","authors":[{"name":"Alissa Centivany","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1042970935033895,"gpt":0.2485715437774652,"spread":0.1442744502740758,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.07365136,0.0008128238,0.001095353,0.008389128,0.01383421,0.06258737,0.00768855,0.009509267,0.0290081],"category_scores_gemma":[0.2878593,0.001056382,0.001276689,0.0121689,0.06193849,0.06422474,0.01835966,0.01865095,0.004439551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01925939,"about_ca_system_score_gemma":0.0194977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01225765,"about_ca_topic_score_gemma":0.01083255,"domain_scores_codex":[0.9478719,0.02467916,0.002772677,0.005833078,0.01651153,0.002331715],"domain_scores_gemma":[0.5827944,0.3334139,0.01432308,0.04105924,0.01923686,0.009172442],"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":[0.0000473602,0.00003300406,0.001798453,0.0001258393,0.00001680634,0.00008813926,0.008007885,0.00050237,0.0001028176,0.9385706,0.01421673,0.03649003],"study_design_scores_gemma":[0.00005698837,0.00005060218,0.001886263,0.0007366658,0.00004326191,0.0001299953,0.007519454,0.001663332,0.0003866407,0.7644559,0.2229802,0.00009089572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04646257,0.01403484,0.04845576,0.4127858,0.01445946,0.0001772394,0.0002285894,0.001001985,0.4623937],"genre_scores_gemma":[0.8440363,0.01212464,0.02900274,0.0419452,0.01197781,0.0003923608,0.0001961053,0.00198397,0.05834079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9374126,"threshold_uncertainty_score":0.3895103,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3047187553","doi":"10.36645/mtlr.27.2.how","title":"How Can I Tell if My Algorithm Was Reasonable?","year":2021,"lang":"en","type":"article","venue":"Michigan Technology Law Review","topic":"Ethics and Social Impacts of AI","field":"Social 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":"University of Ottawa","funders":"University of Haifa","keywords":"Tort; Damages; Computer science; Strengths and weaknesses; Compensation (psychology); Artificial intelligence; Order (exchange); Liability; Risk analysis (engineering); Algorithm; Law and economics; Law; Business; Psychology; Economics; Political science; Social psychology","authors":[{"name":"Karni Chagal-Feferkorn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02406130042368366,"gpt":0.3214266298542768,"spread":0.2973653294305932,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01154018,0.001193086,0.001344794,0.001857346,0.002758173,0.008338259,0.00258031,0.007314534,0.02384125],"category_scores_gemma":[0.1049886,0.0005556287,0.001457942,0.001213818,0.008097275,0.01335319,0.002177168,0.006624511,0.01155853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003370379,"about_ca_system_score_gemma":0.004088474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00376258,"about_ca_topic_score_gemma":0.002803561,"domain_scores_codex":[0.9899117,0.004775231,0.0007078408,0.001890954,0.001995168,0.0007191187],"domain_scores_gemma":[0.9680765,0.02407319,0.001583385,0.002126486,0.003313828,0.0008266946],"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":[0.0005203593,0.0001263003,0.005514223,0.0005565035,0.0001547127,0.0008227169,0.001824613,0.007711736,0.0006559286,0.6764702,0.1498773,0.1557655],"study_design_scores_gemma":[0.0001136623,0.0001227642,0.000832302,0.0008263055,0.00009105363,0.001281221,0.001366741,0.02723105,0.001405379,0.7723055,0.1942869,0.0001371672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02004097,0.008505258,0.3899415,0.4106089,0.007088389,0.0005299503,0.002197578,0.001997277,0.1590902],"genre_scores_gemma":[0.5752572,0.008234901,0.2865522,0.05432235,0.004674457,0.000990242,0.002919638,0.001149684,0.06589937],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02384125,"threshold_uncertainty_score":0.07975698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404742810","doi":"10.36645/mtlr.30.2.repair","title":"Repair as Research: How Copyright Impedes Learning About Devices","year":2024,"lang":"en","type":"article","venue":"Michigan Technology Law Review","topic":"Innovation Policy and R&D","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":"Dalhousie University","funders":"","keywords":"Computer science","authors":[{"name":"Anthony D Rosborough","is_ca":true},{"name":"Aaron Perzanowski","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07704505156766789,"gpt":0.3407524568746376,"spread":0.2637074053069697,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.06519564,0.000462727,0.0009420746,0.004936348,0.01296351,0.02876827,0.003569161,0.008200966,0.01297433],"category_scores_gemma":[0.1941568,0.0008692892,0.001205499,0.00385627,0.05733061,0.04136756,0.01586308,0.009001421,0.001432065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01018952,"about_ca_system_score_gemma":0.01176937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038207,"about_ca_topic_score_gemma":0.008407589,"domain_scores_codex":[0.9427042,0.03409447,0.003358521,0.005663978,0.01050651,0.003672215],"domain_scores_gemma":[0.6458409,0.2919971,0.01644579,0.030391,0.01095968,0.004365423],"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":[0.00007284097,0.00009052282,0.00556792,0.0001207629,0.00001404745,0.0003928443,0.0283463,0.0008231203,0.0004133442,0.9367858,0.00189311,0.02547933],"study_design_scores_gemma":[0.0001257278,0.0002546206,0.007471903,0.001381586,0.00009655934,0.001111427,0.06048217,0.005088266,0.003329658,0.7509974,0.1695253,0.0001354227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4374615,0.004647573,0.08175813,0.08491097,0.0003245217,0.0002904449,0.0001861195,0.0003625807,0.3900582],"genre_scores_gemma":[0.9863924,0.001137911,0.002579333,0.001792024,0.00008049478,0.0001408988,0.00002709913,0.00005835626,0.007791294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9870365,"threshold_uncertainty_score":0.3447917,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2786897159","doi":"10.36645/mtlr.24.1.paypal","title":"PayPal is New Money: Extending Secondary Copyright Liability Safe Harbors to Online Payment Processors","year":2017,"lang":"en","type":"article","venue":"Michigan Technology Law Review","topic":"Copyright and Intellectual Property","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":"Western University","funders":"","keywords":"Digital Millennium Copyright Act; Liability; Copyright infringement; Payment; Business; Legislative history; Legislation; The Internet; Legislature; Fair use; Internet privacy; Computer security; Intellectual property; Law; Finance; Computer science; Political science; Copyright law; World Wide Web","authors":[{"name":"Erika Douglas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02873433010668432,"gpt":0.2795347771716492,"spread":0.2508004470649649,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01833827,0.000485672,0.0007616114,0.00282306,0.005970992,0.01392278,0.002958218,0.02032154,0.005844855],"category_scores_gemma":[0.04663809,0.0006105135,0.001373266,0.001340337,0.01468039,0.01251744,0.006324668,0.01452121,0.001169439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004532984,"about_ca_system_score_gemma":0.01267789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007787622,"about_ca_topic_score_gemma":0.01052209,"domain_scores_codex":[0.9799413,0.008203147,0.001043841,0.002062663,0.006300732,0.002448265],"domain_scores_gemma":[0.9609174,0.02783549,0.002305878,0.002652312,0.004944982,0.001343884],"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":[0.00001360872,0.00006252519,0.0004317732,0.000100483,0.00001088826,0.0003497333,0.001040813,0.0003755672,0.0003106727,0.9680952,0.01312296,0.01608572],"study_design_scores_gemma":[0.00009691719,0.000374025,0.003440792,0.002031256,0.0001254412,0.0009065206,0.001835977,0.002560271,0.002378678,0.3299138,0.6561725,0.0001638066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06141048,0.02266528,0.02886083,0.1748278,0.002228748,0.0003844167,0.00009939277,0.0003834384,0.7091397],"genre_scores_gemma":[0.8054119,0.01590373,0.01291785,0.08864761,0.004686004,0.0006462919,0.00007001877,0.0001432305,0.07157335],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02032154,"threshold_uncertainty_score":0.09698325,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}