{"id":"W4233659602","doi":"10.32920/14638968","title":"Musings on Collection Analysis and Its Utility in Modern Collection Development","year":2021,"lang":"en","type":"article","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":"Data collection; Measure (data warehouse); Collection development; Focus (optics); Data science; Computer science; Knowledge management; World Wide Web; Sociology; Database; Social science","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":[0.1589518,0.001137232,0.001813574,0.008379352,0.01678655,0.01890507,0.006903269,0.01659711,0.005453473],"category_scores_gemma":[0.2791571,0.001303563,0.00262608,0.01112456,0.07315971,0.0350504,0.01061936,0.03867838,0.00151703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01718505,"about_ca_system_score_gemma":0.02973809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0408139,"about_ca_topic_score_gemma":0.04642469,"domain_scores_codex":[0.8401494,0.09577514,0.009561957,0.01015478,0.04149443,0.002864222],"domain_scores_gemma":[0.5672795,0.369072,0.005251273,0.01388637,0.04260433,0.001906442],"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":[0.00002567135,0.0000110679,0.0002494985,0.0002527896,0.00001974883,0.00006552222,0.01022392,0.000106915,0.00005567166,0.6555148,0.3180985,0.01537586],"study_design_scores_gemma":[0.00002741945,0.00002457643,0.0007819303,0.001978057,0.00002933872,0.0001215757,0.005121832,0.0003708426,0.0003695792,0.1972227,0.7938639,0.00008834864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007283305,0.01213944,0.01071358,0.9492615,0.008954681,0.00006560521,0.0001695044,0.00009357644,0.01787376],"genre_scores_gemma":[0.05890823,0.01483583,0.02728266,0.8286391,0.03839029,0.001020913,0.0002668217,0.0009774108,0.02967874],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.981095,"threshold_uncertainty_score":0.8406276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332222516532372,"score_gpt":0.220755736596145,"score_spread":0.1974335114308213,"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."}}