{"id":"W4214878887","doi":"10.32920/ryerson.14640051.v2","title":"A changing landscape in 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; Focus (optics); Computer science; Data collection; Data science; Engineering management; Process management; Operations research; Business; World Wide Web; Engineering; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.05685012,0.0006544627,0.001061979,0.007397669,0.01342854,0.04464262,0.006624982,0.007172402,0.01636718],"category_scores_gemma":[0.05592259,0.001495558,0.001025186,0.01298761,0.0350063,0.039962,0.01628915,0.009884129,0.003616051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04455278,"about_ca_system_score_gemma":0.03535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03356232,"about_ca_topic_score_gemma":0.02551392,"domain_scores_codex":[0.9339277,0.03904797,0.00282093,0.007217734,0.01208231,0.004903388],"domain_scores_gemma":[0.9103751,0.05333977,0.003398013,0.007711691,0.016564,0.00861137],"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":[0.00005749722,0.0001659014,0.005448823,0.0007042171,0.0000246757,0.0003669101,0.02300268,0.0008275696,0.0005962575,0.775752,0.03123298,0.1618205],"study_design_scores_gemma":[0.00003575493,0.0001069841,0.008668291,0.00073399,0.0000130602,0.0004760805,0.05213401,0.001349746,0.001413397,0.09297406,0.8419573,0.0001372907],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.08661962,0.03097648,0.04804787,0.5567157,0.0009199656,0.0003758071,0.0006377896,0.0008830528,0.2748237],"genre_scores_gemma":[0.7940978,0.03852934,0.05933169,0.03512488,0.001444686,0.0008149035,0.0005025926,0.001309463,0.06884461],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9553574,"threshold_uncertainty_score":0.3232545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812124904823119,"score_gpt":0.2131839356846842,"score_spread":0.195062686636453,"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."}}