{"id":"W7018014174","doi":"","title":"Comparing Toronto Public Library's Kanopy Service with Traditional Classification and Subject Access Tools","year":2023,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridging (networking); Digital library; Service (business); Interface (matter); Subject (documents); User interface; Service design; Digital transformation","routes":{"ca_aff":false,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.002239252,0.0002742347,0.0004275815,0.002049975,0.001955477,0.003452308,0.0007749678,0.0006018701,0.01035277],"category_scores_gemma":[0.01610584,0.0001884972,0.0005248414,0.004230478,0.0009494387,0.002789945,0.002020636,0.0006207178,0.001794301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008165489,"about_ca_system_score_gemma":0.004009537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2980957,"about_ca_topic_score_gemma":0.3886794,"domain_scores_codex":[0.9973276,0.0007433133,0.0002283118,0.0001477233,0.001095734,0.0004573962],"domain_scores_gemma":[0.9887486,0.005665264,0.000741719,0.0004955061,0.002963057,0.001385798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009747647,0.004356209,0.3989329,0.003049785,0.0002062323,0.001873346,0.1877958,0.00212271,0.01207722,0.005332307,0.03916562,0.3353402],"study_design_scores_gemma":[0.0002298992,0.005339399,0.7581432,0.0002545653,0.0002010076,0.0004332977,0.1778898,0.005611846,0.004096959,0.0003636674,0.04725938,0.0001769707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814761,0.0001923628,0.0002427551,0.0004343013,0.00001981342,0.0001067379,0.0004871236,0.0001396886,0.01690112],"genre_scores_gemma":[0.9922259,0.0002587273,0.0007200327,0.0001639643,0.0000197368,0.00008595674,0.0007389952,0.00005937775,0.005727381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7019043,"threshold_uncertainty_score":0.5927212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2781677687930707,"score_gpt":0.2965449974801175,"score_spread":0.01837722868704683,"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."}}