{"id":"W2047677807","doi":"10.1111/j.1468-2419.2007.00273.x","title":"Understanding frame‐of‐reference training success: a social learning theory perspective","year":2007,"lang":"en","type":"article","venue":"International Journal of Training and Development","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Wilfrid Laurier University","funders":"","keywords":"Perspective (graphical); Training (meteorology); Control (management); Relational frame theory; Frame (networking); Protocol (science); Psychology; Applied psychology; Learning theory; Computer science; Artificial intelligence; Cognitive psychology; Medicine","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":[0.01476574,0.0008361405,0.000684305,0.00371791,0.00141756,0.00426211,0.001605194,0.00111437,0.002055558],"category_scores_gemma":[0.03519239,0.0003535247,0.0004976908,0.001076981,0.007417639,0.004494034,0.00198095,0.001107715,0.0001028327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003321446,"about_ca_system_score_gemma":0.002139708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005241822,"about_ca_topic_score_gemma":0.003352655,"domain_scores_codex":[0.9927954,0.005106482,0.0001721069,0.0004440682,0.001082209,0.0003997845],"domain_scores_gemma":[0.9656587,0.02844297,0.003176894,0.001014954,0.001334852,0.000371696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008884788,0.002084215,0.1036791,0.001107903,0.000387685,0.000636142,0.2731951,0.01236184,0.008230096,0.312937,0.001631801,0.2828606],"study_design_scores_gemma":[0.0004070371,0.005791437,0.2917893,0.001298058,0.0006029397,0.0006415328,0.2165603,0.07088767,0.0148442,0.3830142,0.01387628,0.0002871929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941855,0.0005840621,0.08593306,0.002387185,0.00004286969,0.0001951874,0.00003678664,0.00005180767,0.01658354],"genre_scores_gemma":[0.9925905,0.0001435465,0.006911051,0.00004813954,0.00001444009,0.00008586738,0.00001131758,0.000006126434,0.0001889559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01476574,"threshold_uncertainty_score":0.07808965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2956799736893404,"score_gpt":0.4149554841590518,"score_spread":0.1192755104697114,"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."}}