{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0001433463,0.0002324201,0.0002061847,0.0004475872,0.0004071534,0.004686188,0.001474158,0.0000954745,0.00003],"category_scores_gemma":[0.00001337683,0.0002336266,0.00004214666,0.001945329,0.00005712399,0.03685154,0.0008367643,0.0001858544,0.00007675678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110267,"about_ca_system_score_gemma":0.0002307073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003611441,"about_ca_topic_score_gemma":0.0008142345,"domain_scores_codex":[0.9982805,0.0001230912,0.0001837931,0.0006008244,0.0004275617,0.00038422],"domain_scores_gemma":[0.9989575,0.0001779155,0.0001290786,0.000369898,0.00007917432,0.0002864567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005636594,0.00003963713,0.9943818,0.0000300537,0.00003908467,0.00005674031,0.0003200745,0.00001096773,0.00004028676,0.003982746,0.00001854738,0.001023655],"study_design_scores_gemma":[0.000662451,0.00006585925,0.9906038,0.00005706528,0.000008546722,0.00002480454,0.000190395,0.00004947142,0.0003239309,0.0003335798,0.007357958,0.0003221474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871998,0.0000297922,0.001614776,0.001927798,0.0001214883,0.0002183166,0.000009905269,0.0008967117,0.007981384],"genre_scores_gemma":[0.9927247,0.00004649786,0.0001773921,0.0005457927,0.00005326382,0.000003997549,0.00009021416,0.00002235506,0.006335828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03216536,"threshold_uncertainty_score":0.9963471,"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."}}