{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002957007,0.00008522387,0.00009466975,0.002479009,0.0001020481,0.0004296479,0.0006345785,0.00007897942,0.000007154943],"category_scores_gemma":[0.00009042388,0.00009683525,0.000008011055,0.004553961,0.0001455789,0.01184213,0.001728725,0.0005352422,0.000001393641],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005060428,"about_ca_system_score_gemma":0.01264727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7471167,"about_ca_topic_score_gemma":0.6685953,"domain_scores_codex":[0.9990671,0.00004327457,0.0001613592,0.0003571438,0.0001440191,0.0002270935],"domain_scores_gemma":[0.9993054,0.0001211914,0.00006290965,0.0002271953,0.00005323374,0.0002300231],"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":[0.00002339452,0.00002557516,0.1562803,0.0003281162,0.00001756183,0.00006389676,0.001932977,0.001962085,0.00001543993,0.8197187,0.01849919,0.001132705],"study_design_scores_gemma":[0.001133253,0.0000606472,0.1006798,0.001064716,0.00001462257,0.00002040066,0.005626088,0.6584969,0.0007269967,0.08621059,0.1447367,0.001229377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960094,0.0001636585,0.0001546873,0.003674453,0.0001004315,0.0002798822,0.0001292092,0.0000325273,0.03537112],"genre_scores_gemma":[0.9978406,0.0009333579,0.0002070323,0.0001270223,0.000003934616,0.000001919436,0.00005539501,0.000002948013,0.0008277193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7335081,"threshold_uncertainty_score":0.9929501,"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."}}