{"id":"W2954549756","doi":"10.1007/s10597-019-00417-5","title":"A Multi-sourced Data Analytics Approach to Measuring and Assessing Biopsychosocial Complexity: The Vancouver Community Analytics Tool Complexity Module (VCAT-CM)","year":2019,"lang":"en","type":"article","venue":"Community Mental Health Journal","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health","funders":"","keywords":"Biopsychosocial model; Analytics; Health psychology; Medicine; Data science; Computer science; Public health; Psychiatry; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006115359,0.0004047043,0.0008272,0.0002536227,0.004650109,0.0005410982,0.001654649,0.00009469246,0.0000761053],"category_scores_gemma":[0.0001853709,0.000332493,0.0001439252,0.0005631067,0.000622997,0.0005537265,0.002360441,0.003605301,0.00001646033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147582,"about_ca_system_score_gemma":0.0005872141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002363276,"about_ca_topic_score_gemma":0.00293633,"domain_scores_codex":[0.9945233,0.002617613,0.000888232,0.0003068085,0.0008929469,0.0007710414],"domain_scores_gemma":[0.99581,0.0002787822,0.0005282987,0.002556,0.0001861528,0.0006408062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006896506,0.05215824,0.4040161,0.02195249,0.009127117,0.00009052678,0.1356319,0.004148126,0.001960323,0.004714384,0.2772957,0.08200859],"study_design_scores_gemma":[0.01355975,0.001205657,0.5817921,0.00183529,0.0005173308,0.0004826383,0.1865631,0.2003572,0.00001445549,0.001427264,0.01120441,0.001040917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776639,0.0003965904,0.008974258,0.004264306,0.0006819487,0.001853213,0.0002469053,0.0001116957,0.00580715],"genre_scores_gemma":[0.9811147,0.0001297088,0.01468918,0.003116142,0.000193477,0.000006252586,0.0004973785,0.00005378278,0.0001994064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2660913,"threshold_uncertainty_score":0.9999127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4576212730405047,"score_gpt":0.4341139105485181,"score_spread":0.02350736249198654,"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."}}