{"id":"W2044889022","doi":"10.1177/016327870002300205","title":"Contextual Influences on Learning Application in Practice","year":2000,"lang":"en","type":"article","venue":"Evaluation & the Health Professions","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"U.S. Public Health Service","keywords":"Logistic regression; Context (archaeology); Process (computing); Psychology; Sample (material); Affect (linguistics); Medical education; Rehabilitation; Applied psychology; Professional development; Nursing; Medicine; Computer science; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008775681,0.0001191528,0.0001343089,0.0001347697,0.0008523372,0.00002154421,0.0001718974,0.00009513408,0.006394889],"category_scores_gemma":[0.0004011181,0.00008490238,0.00002452133,0.0004122399,0.00005033839,0.0001752231,0.00001403597,0.0006087571,0.003943699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202208,"about_ca_system_score_gemma":0.000376482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001969889,"about_ca_topic_score_gemma":0.000147118,"domain_scores_codex":[0.9949103,0.003304678,0.0005149881,0.0002781297,0.0006734174,0.0003184836],"domain_scores_gemma":[0.9984655,0.0007466216,0.000288863,0.0002830541,0.0001536443,0.00006234235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003958991,0.0002431255,0.01260931,0.00001076608,0.00002136454,3.899022e-7,0.09296952,0.004854877,0.00001054696,0.004385212,0.006140038,0.878359],"study_design_scores_gemma":[0.00204606,0.000394485,0.7046607,0.0001891687,0.0000293085,0.000004624698,0.02480381,0.01853568,0.000003520111,0.0009424075,0.2481776,0.0002127314],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048194,0.0003414712,0.0001090398,0.03094785,0.0003651453,0.002455303,0.000001463239,0.0000802005,0.06088014],"genre_scores_gemma":[0.9860048,0.00006570706,0.00007867957,0.00567758,0.0001502377,0.001351534,0.00007805405,0.00001368071,0.006579705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8781462,"threshold_uncertainty_score":0.9968318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1252692657081936,"score_gpt":0.5024420030738176,"score_spread":0.3771727373656241,"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."}}