{"id":"W4405253578","doi":"10.48550/arxiv.2412.05815","title":"Canadian Publications in Library and Information Science: A Database of research by LIS academics and practitioners in Canada","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Université de Montréal; Canadian Association of Research Libraries; Association of Research Libraries","keywords":"Library science; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007653178,0.001295853,0.002512842,0.115418,0.008798042,0.01358179,0.003252694,0.001242039,0.01661483],"category_scores_gemma":[0.04979996,0.0008830825,0.0008035378,0.2935144,0.002273209,0.003325703,0.004718148,0.00128775,0.005104589],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1000851,"about_ca_system_score_gemma":0.3973782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875359,"about_ca_topic_score_gemma":0.9911721,"domain_scores_codex":[0.9849336,0.0005767213,0.00216376,0.001071118,0.00930773,0.001947082],"domain_scores_gemma":[0.8849548,0.01257258,0.009653461,0.00294658,0.07554375,0.01432889],"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":[0.0004202242,0.00007558897,0.06038313,0.01477254,0.0002719465,0.0008532814,0.01229213,0.0007706546,0.001020537,0.01782425,0.6962727,0.1950431],"study_design_scores_gemma":[0.00003964244,0.00001636499,0.08774,0.004034123,0.000206487,0.0002069779,0.006086949,0.0003060733,0.0004393361,0.0006151309,0.9001673,0.0001415356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02218136,0.02382508,0.001066194,0.002724125,0.0002773277,0.0006892445,0.9042961,0.0007583399,0.04418229],"genre_scores_gemma":[0.1431281,0.0945413,0.01957094,0.001429224,0.0002369934,0.00187979,0.7060618,0.0009894066,0.03216247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8999149,"threshold_uncertainty_score":0.7261717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05736725255191771,"score_gpt":0.2052940979074573,"score_spread":0.1479268453555395,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}