{"id":"W2912391489","doi":"10.9778/cmajo.20180074","title":"Use of patient-reported outcomes in regional cancer centres over time: a retrospective study","year":2019,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Cancer survivorship and care","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Cancer Society Research Institute","keywords":"Medicine; Cancer; Retrospective cohort study; Cohort; Cohort study; Demography; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002811204,0.000296903,0.0005816447,0.002050552,0.0009281385,0.001209612,0.00123412,0.0004284791,0.0009644041],"category_scores_gemma":[0.008788603,0.0003911744,0.0009051083,0.005012353,0.0007547274,0.0007123934,0.001443548,0.0006479757,0.0002151058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00360114,"about_ca_system_score_gemma":0.003115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2394725,"about_ca_topic_score_gemma":0.2490199,"domain_scores_codex":[0.9952825,0.001007746,0.0006864141,0.001176114,0.001198021,0.0006492749],"domain_scores_gemma":[0.9879785,0.0009466495,0.007802418,0.0007219606,0.001604481,0.0009459898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002369255,0.000007543033,0.998974,0.00002911777,0.0000509361,0.00003425152,0.0002244403,0.00002717307,0.00002721267,0.00001012103,0.0001802089,0.0004113119],"study_design_scores_gemma":[0.000002500231,0.00003169068,0.9988806,0.00002724739,0.00002702846,0.0001192437,0.0004976492,0.00007420663,0.00001989632,0.000005416095,0.0003081146,0.000006456909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928079,0.001223871,0.0002524935,0.0001396131,0.00001330379,0.00009386215,0.004501952,0.00001499376,0.0009521378],"genre_scores_gemma":[0.9980875,0.000220825,0.0001264816,0.00005851487,0.000007952578,0.00005649426,0.001365691,0.000005903016,0.00007071169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2394725,"threshold_uncertainty_score":0.4761572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03667382316878448,"score_gpt":0.329174147766244,"score_spread":0.2925003245974596,"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."}}