{"id":"W1508240341","doi":"10.21432/t2990w","title":"Setting an Agenda for Training","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology; Transfer of training; Training (meteorology); Mathematics education; Pedagogy; Higher education; Medical education; Computer science; Political science; Medicine; Cognitive psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.08352164,0.002328111,0.003131564,0.005744026,0.04464646,0.0549628,0.009165356,0.1027489,0.04793985],"category_scores_gemma":[0.09759065,0.001772593,0.00217575,0.003145152,0.0375625,0.05072382,0.04184312,0.08483087,0.0108223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03447346,"about_ca_system_score_gemma":0.2423864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03172527,"about_ca_topic_score_gemma":0.05498508,"domain_scores_codex":[0.914213,0.02914846,0.004414298,0.007409818,0.01793136,0.02688301],"domain_scores_gemma":[0.7728926,0.04024785,0.005568082,0.005605971,0.04053725,0.1351483],"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":[0.0000890341,0.0004800399,0.00143597,0.0006057506,0.00004905024,0.0002980111,0.006160208,0.0005144124,0.0005135578,0.4103192,0.5263247,0.05320991],"study_design_scores_gemma":[0.0001097234,0.0001355737,0.002026992,0.003476539,0.00004781147,0.000154484,0.03335443,0.0006939012,0.000447244,0.3021158,0.6572442,0.0001933344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0005551856,0.001786767,0.00118899,0.9749404,0.005860071,0.00003887464,0.00002605136,0.00005403194,0.01554967],"genre_scores_gemma":[0.1413153,0.005304734,0.01560892,0.7575629,0.009763024,0.0008936705,0.0002060422,0.0002994519,0.06904595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1027489,"threshold_uncertainty_score":0.4417099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04719283089679145,"score_gpt":0.3385908311885261,"score_spread":0.2913980002917347,"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."}}