{"id":"W4416810684","doi":"10.33137/cjal-rcbu.v11.46016","title":"Training Library Instructors, Volumes 1-2, by Matthew Weirick Johnson","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Academic Librarianship","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Focus (optics); Academic library; Initial training","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00205623,0.00114968,0.0004337069,0.002676759,0.002008446,0.003188353,0.0009467703,0.002194321,0.04860563],"category_scores_gemma":[0.006405287,0.0005107063,0.0002821236,0.001874414,0.0009741714,0.003403339,0.002803188,0.002945805,0.03813294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002726329,"about_ca_system_score_gemma":0.005380708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02245966,"about_ca_topic_score_gemma":0.05110802,"domain_scores_codex":[0.9981322,0.0002641377,0.00010327,0.0002863977,0.001065956,0.0001480855],"domain_scores_gemma":[0.9971547,0.0005366491,0.0003279333,0.00007875153,0.001187139,0.0007147145],"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":[0.00001275382,0.0000124828,0.0001087439,0.00008950432,0.000001130819,0.0000122852,0.0001949997,0.00002812967,0.0001866,0.0006297866,0.9574149,0.04130851],"study_design_scores_gemma":[0.000002490165,0.000008831315,0.0006409857,0.0001278336,0.00000170874,0.00003995973,0.0002486077,0.00003932303,0.0001349866,0.0003280473,0.9984224,0.000004969804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.002506681,0.2958896,0.006343863,0.3353469,0.1402996,0.0004176459,0.001238893,0.001932656,0.2160241],"genre_scores_gemma":[0.009620715,0.05601717,0.003156417,0.02745437,0.01443318,0.0002324669,0.000490761,0.0005569896,0.888038],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04860563,"threshold_uncertainty_score":0.162602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000181222978564,"score_gpt":0.2741542553538632,"score_spread":0.2441524431240775,"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."}}