{"id":"W4410705287","doi":"10.29173/cais1906","title":"Library SCEB Model","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003258005,0.0006163321,0.0005961421,0.004174577,0.003591571,0.01056779,0.004182741,0.003710035,0.1114935],"category_scores_gemma":[0.01006472,0.0005531972,0.001268699,0.00626085,0.003521524,0.01092861,0.005630615,0.002120158,0.03164548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006324814,"about_ca_system_score_gemma":0.01288436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01737733,"about_ca_topic_score_gemma":0.01247348,"domain_scores_codex":[0.9972516,0.001086605,0.0001765045,0.0003967152,0.0007079375,0.0003806775],"domain_scores_gemma":[0.993749,0.001813412,0.0004979061,0.0009792873,0.002099338,0.0008611358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001094318,0.0002294407,0.002163412,0.0004311365,0.00003162673,0.0003066396,0.001518006,0.006282611,0.0001413116,0.8963615,0.03401404,0.05841085],"study_design_scores_gemma":[0.0001637163,0.0001376695,0.001542206,0.0006615185,0.00005579246,0.0005570215,0.002060201,0.01836285,0.0004061688,0.3633776,0.6126155,0.00005970754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01350916,0.001489537,0.08974989,0.01576109,0.0003602293,0.000853673,0.002400612,0.0015087,0.8743671],"genre_scores_gemma":[0.4487091,0.00442439,0.07808671,0.00527029,0.0005286625,0.003017549,0.004454143,0.0005419612,0.4549672],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1114935,"threshold_uncertainty_score":0.3729829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0278971353193304,"score_gpt":0.2798058878068045,"score_spread":0.2519087524874741,"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."}}