{"id":"W2511495849","doi":"10.1080/14926150109556453","title":"‘Training’ our students","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Science Mathematics and Technology Education","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Training (meteorology); Medical education; Psychology; Mathematics education; Computer science; Geography; Medicine; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004172389,0.0008629222,0.0004944156,0.001056604,0.01229561,0.009123499,0.00247213,0.006391042,0.09263707],"category_scores_gemma":[0.0106009,0.0005642443,0.0007930329,0.0008632487,0.006764495,0.007073143,0.01142691,0.01181848,0.03462573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003875516,"about_ca_system_score_gemma":0.01535245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007704872,"about_ca_topic_score_gemma":0.02699001,"domain_scores_codex":[0.9945074,0.001369082,0.0001433317,0.0006815107,0.0009568721,0.002341876],"domain_scores_gemma":[0.9759622,0.0006207436,0.0008031667,0.001039032,0.00241794,0.01915686],"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":[0.00007803457,0.001216103,0.007289886,0.0003526263,0.00002229859,0.0003128124,0.04206236,0.0001083087,0.002573958,0.04442523,0.7758549,0.1257034],"study_design_scores_gemma":[0.0000251975,0.0001478162,0.00683362,0.0002819098,0.00001112862,0.000269194,0.02031883,0.00004309318,0.0005153355,0.00702807,0.9644904,0.00003539114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06237741,0.005256639,0.004502221,0.5903617,0.03370744,0.0002977839,0.0002325599,0.0007584287,0.3025058],"genre_scores_gemma":[0.2115458,0.003293894,0.005424977,0.1649977,0.005353637,0.0002845974,0.0003130697,0.0003440402,0.6084422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09263707,"threshold_uncertainty_score":0.3099018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524632871348935,"score_gpt":0.3677467947984883,"score_spread":0.322500466084999,"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."}}