{"id":"W2991398278","doi":"10.1016/j.evalprogplan.2019.101753","title":"Evaluating complex interventions in real context: Logic analysis of a case management program for frequent users of healthcare services","year":2019,"lang":"en","type":"article","venue":"Evaluation and Program Planning","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; University of Victoria; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Université de Sherbrooke; University of Victoria","keywords":"Context (archaeology); Health care; Constructive; Psychological intervention; Process (computing); Case management; Computer science; Knowledge management; Process management; Logic model; Strengths and weaknesses; Management science; Engineering; Medicine; Psychology; Nursing; Sociology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001553275,0.0001216625,0.0004128491,0.0005055282,0.00004159839,0.00003010424,0.00005596043,0.00004122971,0.0001449708],"category_scores_gemma":[0.00002565347,0.0001144207,0.0001830719,0.0006026393,0.00004239704,0.00007994803,0.00004499414,0.0000605959,6.557885e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009428854,"about_ca_system_score_gemma":0.00005395291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000664202,"about_ca_topic_score_gemma":0.0007670259,"domain_scores_codex":[0.9984007,0.0001413921,0.0005960525,0.000279072,0.0003979618,0.0001848448],"domain_scores_gemma":[0.9990412,0.00007878007,0.0003425072,0.0002099486,0.0002692909,0.00005828924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005663034,0.00120413,0.2583604,0.01701112,0.003009069,0.00005183416,0.003833317,0.008619812,0.00006022498,0.005451452,0.00002914861,0.7018032],"study_design_scores_gemma":[0.004928029,0.0021683,0.3270765,0.001989201,0.004995472,0.000008965942,0.02156804,0.6366059,0.000005703174,0.0003716977,0.0001453169,0.0001368858],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900642,0.001022938,0.0001121462,0.0002861862,0.00004187626,0.006905191,0.0000311622,0.00005988201,0.001476408],"genre_scores_gemma":[0.988004,0.00002601464,0.01016548,0.00005398944,0.000008715696,0.0008055644,0.0008923134,0.000009175591,0.00003473917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7016664,"threshold_uncertainty_score":0.466594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3175774988828139,"score_gpt":0.555757207512525,"score_spread":0.2381797086297111,"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."}}