{"id":"W2971045308","doi":"10.3747/co.26.4919","title":"Patient-Reported Outcomes in Alberta: Rationale, Scope, and Design of a Database Initiative","year":2019,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer survivorship and care","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Variety (cybernetics); Scope (computer science); Medicine; Health care; Data collection; Psychosocial; Population health; Data science; Population; Environmental health; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.171219,0.001243032,0.001088624,0.007707771,0.006718072,0.009874945,0.01002925,0.002368339,0.004251594],"category_scores_gemma":[0.06465899,0.001319466,0.00152127,0.01342208,0.00617038,0.003353253,0.01111693,0.002986298,0.0008666538],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05913443,"about_ca_system_score_gemma":0.1767734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.426034,"about_ca_topic_score_gemma":0.5216813,"domain_scores_codex":[0.8941814,0.05383123,0.01044355,0.005551904,0.02880158,0.00719037],"domain_scores_gemma":[0.9133784,0.02250704,0.006742213,0.009498673,0.03366957,0.01420412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006709157,0.006260275,0.4095326,0.00532494,0.0005986377,0.001374868,0.01537255,0.005025461,0.001768347,0.1797803,0.04930722,0.3189455],"study_design_scores_gemma":[0.007635789,0.006271616,0.4059025,0.01539493,0.001970503,0.001597714,0.02897433,0.01350214,0.004861118,0.02819018,0.4850977,0.0006014872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.1836767,0.00790499,0.0904726,0.0396787,0.001551535,0.527468,0.04074311,0.0008156034,0.1076887],"genre_scores_gemma":[0.2511637,0.0038669,0.2937957,0.01237682,0.0008955239,0.4073943,0.02301804,0.0001546677,0.007334428],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9408656,"threshold_uncertainty_score":0.9055036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178858871943579,"score_gpt":0.3878361248934308,"score_spread":0.2699502376990728,"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."}}