{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"4237b8c50681","filters":{"venue":"Research Library Issues"}},"results":[{"id":"W3145418495","doi":"10.29242/rli.299","title":"Ethics of Artificial Intelligence","year":2019,"lang":"en","type":"paratext","venue":"Research Library Issues","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph; Vector Institute","funders":"","keywords":"Artificial intelligence; Computer science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.38565561199329,"gpt":0.5654874782234174,"spread":0.1798318662301274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01223389,0.0004188037,0.0003675917,0.001022864,0.005794093,0.01107791,0.0009767727,0.00745795,0.008969935],"category_scores_gemma":[0.0156975,0.0002123833,0.0004524118,0.0007384694,0.02742076,0.007354945,0.004162451,0.007072948,0.002248239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005112701,"about_ca_system_score_gemma":0.005891982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004062491,"about_ca_topic_score_gemma":0.003670294,"domain_scores_codex":[0.9802461,0.0125751,0.0005823083,0.001346802,0.004215581,0.001034194],"domain_scores_gemma":[0.9905889,0.005903985,0.000478506,0.001228741,0.001418182,0.0003816009],"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":[0.000001532447,0.00000232821,0.00005183117,0.00000928008,0.00000106002,0.00001010979,0.0006550683,0.00003119837,0.00001439433,0.9914126,0.005916461,0.001893928],"study_design_scores_gemma":[0.000002719234,0.00000513506,0.0001444683,0.00008941328,0.000001693597,0.00005525445,0.0009137897,0.000136202,0.0000759972,0.6492487,0.3493215,0.000005279569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.002973168,0.007749295,0.00913991,0.2317103,0.001850361,0.00004215224,0.00007899311,0.00002821815,0.7464276],"genre_scores_gemma":[0.5633916,0.009959761,0.01038862,0.1485236,0.006793093,0.0004776959,0.0001783328,0.0001531981,0.2601342],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01223389,"threshold_uncertainty_score":0.06469971,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1810763161","doi":"10.29242/rli.271.8","title":"The Value of Electronic Resources: Measuring the Impact of Networked Electronic Services (MINES for Libraries®) at the Ontario Council of University Libraries","year":2010,"lang":"en","type":"article","venue":"Research Library Issues","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Electronic library; Business; Library science; Value (mathematics); World Wide Web; Computer science; Digital library","authors":[{"name":"Catherine Davidson","is_ca":false},{"name":"Martha Kyrillidou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03530557163465903,"gpt":0.2573492533770411,"spread":0.222043681742382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002005818,0.0001516518,0.0001450289,0.002813161,0.002182937,0.003224741,0.0008189622,0.00041244,0.004270714],"category_scores_gemma":[0.01464945,0.000169606,0.0001583962,0.005337162,0.001147358,0.001780962,0.001904027,0.0004744419,0.0006687813],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02491472,"about_ca_system_score_gemma":0.01930626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7548417,"about_ca_topic_score_gemma":0.9244021,"domain_scores_codex":[0.9956028,0.0005658128,0.0001677973,0.0001117901,0.003179527,0.0003721956],"domain_scores_gemma":[0.9868526,0.002293368,0.001706116,0.0003853417,0.006779585,0.001982978],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000183718,0.0002726242,0.8758133,0.0001902859,0.00005068518,0.0001622094,0.00871123,0.0009330031,0.0007928042,0.003148395,0.01260851,0.09713319],"study_design_scores_gemma":[0.000006182352,0.00007894664,0.9760239,0.00005248033,0.00002395691,0.00003459415,0.009271004,0.0005696985,0.00059067,0.0002279702,0.01310783,0.00001273081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498897,0.0003388559,0.0001328816,0.001178266,0.000009101732,0.00007131761,0.001760386,0.00002026714,0.04659914],"genre_scores_gemma":[0.9914595,0.0003754528,0.00041586,0.00007335102,0.000007765583,0.00002146616,0.0005761192,0.000008605699,0.007061763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9979942,"threshold_uncertainty_score":0.4932042,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}