{"id":"W2019371312","doi":"10.1016/j.evalprogplan.2013.05.004","title":"Defining, illustrating and reflecting on logic analysis with an example from a professional development program","year":2013,"lang":"en","type":"article","venue":"Evaluation and Program Planning","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sante Montreal; Université de Sherbrooke; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Logic model; Promotion (chess); Computer science; Intervention (counseling); Field (mathematics); Context (archaeology); Point (geometry); Management science; Risk analysis (engineering); Engineering ethics; Medicine; Engineering; Sociology; Nursing; Political science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003445295,0.0006718413,0.0003604024,0.003059167,0.004277118,0.005567923,0.001466971,0.002699547,0.005332228],"category_scores_gemma":[0.008769098,0.0004348437,0.001101622,0.002753632,0.004366895,0.004373055,0.002487578,0.003079952,0.001063249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004831822,"about_ca_system_score_gemma":0.005788434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03826857,"about_ca_topic_score_gemma":0.04729021,"domain_scores_codex":[0.9964833,0.002074969,0.0001533831,0.0001774786,0.000666093,0.0004448025],"domain_scores_gemma":[0.9909087,0.007072363,0.0002839706,0.0003241728,0.001172413,0.0002384172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002978133,0.0004859269,0.006684169,0.0008679419,0.00003482345,0.007178044,0.0457277,0.02150261,0.009692181,0.74296,0.02036705,0.1442018],"study_design_scores_gemma":[0.00012161,0.0003385778,0.00548855,0.00119631,0.0001406644,0.004700548,0.06205274,0.06935334,0.02172146,0.3994528,0.435175,0.0002585066],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07423323,0.0004734297,0.7630015,0.02048534,0.0001403437,0.0007417176,0.0006431623,0.001195219,0.1390861],"genre_scores_gemma":[0.2782241,0.0006081334,0.698626,0.001325502,0.0000310121,0.0003433908,0.000493444,0.000309774,0.02003871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03826857,"threshold_uncertainty_score":0.07609165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4962483120233956,"score_gpt":0.5912364724906018,"score_spread":0.0949881604672062,"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."}}