{"id":"W4254253521","doi":"10.2307/j.ctv15wxr5j.25","title":"Training a New Librarian in the What, How, Where, and Why of Health Sciences Collection Management","year":2016,"lang":"en","type":"book-chapter","venue":"Purdue University Press eBooks","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Medical education; Training (meteorology); Psychology; Computer science; Library science; Medicine; Geography","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":[0.01442464,0.0007121514,0.0006453217,0.001798663,0.00929916,0.01263,0.002007917,0.004862505,0.03637753],"category_scores_gemma":[0.02152681,0.001080003,0.0008751904,0.001686295,0.003798699,0.01336532,0.00997114,0.007191142,0.02929762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003395065,"about_ca_system_score_gemma":0.01538195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002574939,"about_ca_topic_score_gemma":0.01200509,"domain_scores_codex":[0.9909511,0.00314165,0.0008792108,0.0008863199,0.003028313,0.001113474],"domain_scores_gemma":[0.9722949,0.006205659,0.001704368,0.002668523,0.005611688,0.01151487],"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":[0.00007439149,0.00085073,0.005612348,0.0006308278,0.00001884797,0.001277283,0.0174218,0.0003791707,0.006071642,0.006761327,0.5273145,0.4335871],"study_design_scores_gemma":[0.00002755825,0.0002029141,0.006729587,0.0006542307,0.00001870223,0.002068583,0.02179246,0.0005979776,0.001559654,0.005333001,0.9609038,0.0001115452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.03161099,0.008479802,0.1023719,0.4575267,0.0113383,0.002463754,0.0002913232,0.01037389,0.3755433],"genre_scores_gemma":[0.105038,0.0127893,0.3239976,0.1125955,0.005577394,0.001117829,0.0005988394,0.001296113,0.4369895],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03637753,"threshold_uncertainty_score":0.1216949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2428566951767813,"score_gpt":0.3761335931156246,"score_spread":0.1332768979388433,"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."}}