{"id":"W4315778134","doi":"10.1177/10732748221150393/v2/review1","title":"Review for \"Multimorbidity and Complexity Among Patients with Cancer in Ontario: A Retrospective Cohort Study Exploring the Clustering of 17 Chronic Conditions with Cancer\"","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cancer; Retrospective cohort study; Cluster analysis; Multimorbidity; Medicine; Cohort; Demography; Oncology; Comorbidity; Internal medicine; Computer science; Artificial intelligence; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007566109,0.0006384085,0.002459519,0.008173896,0.002392594,0.003066245,0.002798342,0.002201466,0.02476782],"category_scores_gemma":[0.0787726,0.0007097069,0.001860332,0.01014017,0.001562951,0.00166763,0.002200806,0.0009880767,0.004155267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01013794,"about_ca_system_score_gemma":0.07373206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.457094,"about_ca_topic_score_gemma":0.7140574,"domain_scores_codex":[0.9928166,0.001156928,0.002006167,0.0003355184,0.003185905,0.0004988796],"domain_scores_gemma":[0.882144,0.01906802,0.01097005,0.002265941,0.08196513,0.003586932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003986605,0.00001684576,0.004509818,0.01911134,0.0002266889,0.0001138669,0.0004011787,0.00001769472,0.00008373112,0.0002293803,0.9445403,0.03070935],"study_design_scores_gemma":[0.0002509411,0.0000601228,0.1472242,0.08638819,0.001281943,0.0004237809,0.001164051,0.00007075015,0.000105762,0.00034122,0.7626046,0.00008447882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01163784,0.5094471,0.0007136155,0.2490669,0.08759311,0.004048443,0.08962821,0.0004765292,0.04738825],"genre_scores_gemma":[0.06862744,0.6576377,0.004984111,0.07677104,0.03516346,0.004255091,0.06095528,0.0006027539,0.09100308],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5429059,"threshold_uncertainty_score":0.9088669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126333984200855,"score_gpt":0.3686293852470419,"score_spread":0.2422954010461869,"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."}}