{"id":"W2992790134","doi":"10.55221/2572-7478.1559","title":"Everything Counts Toward Book Collection Development","year":2017,"lang":"en","type":"article","venue":"The Christian librarian:/The Christian librarian","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Providence University College and Theological Seminary","funders":"","keywords":"Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.0125975,0.0006605684,0.0005798272,0.004878379,0.009618387,0.03199609,0.002143294,0.00243699,0.09132396],"category_scores_gemma":[0.02854061,0.0008207494,0.0004784532,0.005393577,0.007837242,0.01800501,0.009279882,0.007561831,0.03610227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01050199,"about_ca_system_score_gemma":0.02422859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077851,"about_ca_topic_score_gemma":0.03267479,"domain_scores_codex":[0.9827771,0.005876259,0.0007749367,0.001386983,0.007564824,0.001619836],"domain_scores_gemma":[0.95906,0.006358464,0.001440283,0.003543033,0.01991331,0.009684835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000424463,0.0001186535,0.00360904,0.0004298399,0.00002061302,0.0001145553,0.005385796,0.0001380342,0.000690378,0.2367154,0.4987803,0.2539548],"study_design_scores_gemma":[0.000004220753,0.00001903635,0.001882987,0.0002966822,0.00000962086,0.0000578773,0.003647415,0.00004782646,0.000751923,0.009354567,0.9839067,0.00002109139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007647338,0.006522371,0.008385035,0.1054239,0.003596608,0.0002264724,0.0004131878,0.00105,0.8667351],"genre_scores_gemma":[0.1116764,0.009494686,0.01667635,0.02282372,0.001707906,0.0002112335,0.0008179371,0.001859266,0.8347325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09132396,"threshold_uncertainty_score":0.3055091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340834338273038,"score_gpt":0.2198421136066982,"score_spread":0.1964337702239678,"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."}}