{"id":"W1974601916","doi":"10.1046/j.1365-2753.2001.00299.x","title":"Applying Prochaska’s model of change to needs assessment, programme planning and outcome measurement","year":2001,"lang":"en","type":"article","venue":"Journal of Evaluation in Clinical Practice","topic":"Innovations in Medical Education","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Outcome (game theory); Process (computing); Process management; Computer science; Order (exchange); Theory of change; Key (lock); Knowledge management; Medical education; Management science; Medicine; Business; Engineering; Management","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03756004,0.00009726202,0.0003979013,0.0005008381,0.00003964048,0.00002116913,0.00007662344,0.0001245197,0.00002753811],"category_scores_gemma":[0.06638028,0.0000821757,0.00006455835,0.0007244483,0.00004736033,0.0005084431,0.00003173511,0.0007838733,0.000001973599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003545528,"about_ca_system_score_gemma":0.0006887061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000962646,"about_ca_topic_score_gemma":0.000001990639,"domain_scores_codex":[0.995093,0.0003473774,0.00219957,0.0001430687,0.002044375,0.0001725912],"domain_scores_gemma":[0.993731,0.0006787751,0.001491763,0.0001765653,0.003785762,0.0001361721],"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":[0.001168318,0.002726075,0.4397554,0.0001976067,0.0001693498,0.00001886863,0.002958826,0.002162478,0.0004886058,0.0005831102,0.001419449,0.5483519],"study_design_scores_gemma":[0.01315404,0.004229344,0.5536631,0.002392522,0.001897228,0.0007093434,0.01696994,0.377269,0.00003794613,0.002463247,0.02682833,0.0003859141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.864104,0.000458666,0.0736602,0.05362564,0.00105896,0.003393226,5.9832e-7,0.00001320676,0.003685545],"genre_scores_gemma":[0.886371,0.00004665877,0.1087874,0.004125058,0.0004591724,0.0001745553,0.000002046541,0.00001165175,0.00002239969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.547966,"threshold_uncertainty_score":0.9910344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.652223663544227,"score_gpt":0.6175429300029841,"score_spread":0.0346807335412429,"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."}}