{"id":"W4242958314","doi":"10.32920/14638968.v1","title":"Musings on Collection Analysis and Its Utility in Modern Collection Development","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Collection development; Data collection; Measure (data warehouse); Focus (optics); Data science; Computer science; Library science; Sociology; Social science; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.1211791,0.001097147,0.001667917,0.00917032,0.01237588,0.01724384,0.0052676,0.01306533,0.005553463],"category_scores_gemma":[0.2399489,0.001037746,0.002022582,0.01182553,0.06588824,0.03263092,0.009544558,0.0296222,0.001516149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01521049,"about_ca_system_score_gemma":0.01796644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02889081,"about_ca_topic_score_gemma":0.02746514,"domain_scores_codex":[0.8727421,0.07554077,0.007451085,0.008613436,0.03344985,0.002202762],"domain_scores_gemma":[0.6165994,0.3284106,0.00418744,0.01407035,0.03526053,0.00147166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002147526,0.000006846423,0.0001850016,0.0001700219,0.00001323979,0.00005145474,0.007367048,0.0001034521,0.00004880198,0.8032808,0.1762819,0.01246996],"study_design_scores_gemma":[0.00002157982,0.00001537832,0.0006692819,0.001299876,0.00002092739,0.0001169971,0.003661446,0.0004423751,0.0003939632,0.2770543,0.716232,0.00007184113],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001284536,0.01846718,0.02241727,0.9108936,0.009997097,0.00007284014,0.0002648467,0.0001468879,0.03645568],"genre_scores_gemma":[0.1382202,0.02443392,0.05249031,0.659982,0.05692165,0.001198808,0.0004785747,0.002081748,0.06419276],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9827561,"threshold_uncertainty_score":0.6408643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049811207567745,"score_gpt":0.2333111384656953,"score_spread":0.2028130263900179,"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."}}