{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05095205,0.0007897185,0.000826469,0.003772464,0.002320571,0.004688001,0.002188422,0.0009320297,0.003858152],"category_scores_gemma":[0.08148715,0.0004829593,0.001103807,0.002357397,0.004255171,0.004253181,0.003021403,0.001638184,0.00019694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01061003,"about_ca_system_score_gemma":0.01104583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003336774,"about_ca_topic_score_gemma":0.006041148,"domain_scores_codex":[0.9396083,0.05411787,0.001348476,0.001050705,0.00303531,0.0008392681],"domain_scores_gemma":[0.8159529,0.171516,0.004983143,0.002649223,0.004051323,0.0008473161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003275819,0.006498198,0.0505081,0.00810254,0.0007696869,0.00246184,0.06731329,0.1038918,0.007208603,0.211044,0.003459866,0.5354664],"study_design_scores_gemma":[0.002522547,0.012622,0.02987557,0.006499903,0.00160693,0.001347765,0.1148543,0.4543402,0.01924296,0.3315313,0.02500496,0.0005515154],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5934091,0.0009995116,0.3731763,0.003702945,0.00007296077,0.01053142,0.0003387465,0.0002390281,0.01752995],"genre_scores_gemma":[0.6917821,0.0004059818,0.3034526,0.0002937119,0.00001846099,0.00330319,0.0001358264,0.00002356477,0.0005846498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05095205,"threshold_uncertainty_score":0.2694634,"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."}}