{"id":"W4393387378","doi":"10.3390/biomedinformatics4020053","title":"A Methodological Approach to Extracting Patterns of Service Utilization from a Cross-Continuum High Dimensional Healthcare Dataset to Support Care Delivery Optimization for Patients with Complex Problems","year":2024,"lang":"en","type":"article","venue":"BioMedInformatics","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Dalhousie University; University of Victoria","funders":"","keywords":"Healthcare delivery; Health care; Computer science; Continuum of care; Service delivery framework; Health care delivery; Data science; Service (business); Business; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003092763,0.0001962759,0.0003002811,0.0002408966,0.00009555079,0.000109596,0.0002224331,0.0001241087,0.0001421599],"category_scores_gemma":[0.00006762573,0.0001630814,0.00005415265,0.0004402016,0.00002610443,0.0004426673,0.000142889,0.0000982076,0.00004505027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366763,"about_ca_system_score_gemma":0.00005914343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004591499,"about_ca_topic_score_gemma":0.0001262741,"domain_scores_codex":[0.9980395,0.00006184297,0.0008965991,0.0003123088,0.0003481327,0.0003416199],"domain_scores_gemma":[0.9985157,0.0002695089,0.0002382815,0.0002823344,0.0004700169,0.0002242167],"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":[0.007923701,0.009688216,0.06870245,0.0656947,0.0018117,0.00002204428,0.1429451,0.03830171,0.0001412574,0.009130999,0.1219156,0.5337225],"study_design_scores_gemma":[0.02237137,0.04297589,0.4848325,0.01353448,0.001096294,0.00009954853,0.03903193,0.2754699,0.001221214,0.001275997,0.1128174,0.005273551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5519119,0.00004523868,0.3502418,0.0005997109,0.001481215,0.003763175,0.09165391,0.0001416128,0.0001614822],"genre_scores_gemma":[0.7386425,4.539163e-7,0.1626302,0.001081354,0.00005739976,0.0003695193,0.09716298,0.00002996664,0.00002573513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5284489,"threshold_uncertainty_score":0.6650268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2694782449666732,"score_gpt":0.4519047539399708,"score_spread":0.1824265089732977,"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."}}