{"id":"W3167277300","doi":"10.1177/02692163211019302","title":"Development and validation of a prediction model of poor performance status and severe symptoms over time in cancer patients (PROVIEW+)","year":2021,"lang":"en","type":"article","venue":"Palliative Medicine","topic":"Cancer survivorship and care","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; University of Ottawa; Wilfrid Laurier University; Bruyère; McMaster University; Alberta Health Services; Ottawa Hospital; University of Calgary; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Performance status; Logistic regression; Lung cancer; Cancer; Depression (economics); Population; Breast cancer; Palliative care; Cohort; Retrospective cohort study; Internal medicine; Physical therapy","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000131857,0.0001070819,0.0003293737,0.00008851574,0.00001767502,0.000001469159,0.0000176825,0.00004655801,0.00008808535],"category_scores_gemma":[0.00006593166,0.00008552871,0.00001308562,0.0001976339,0.00007780767,0.00006565513,0.0000299776,0.00008436335,3.210657e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198585,"about_ca_system_score_gemma":0.0001912801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002226144,"about_ca_topic_score_gemma":0.0002167389,"domain_scores_codex":[0.9990183,0.00002561941,0.0003356593,0.0001899811,0.0003053836,0.000125021],"domain_scores_gemma":[0.9994163,0.00003448574,0.0001373096,0.00007848658,0.0002598123,0.00007362429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001963454,0.00009165224,0.9677935,0.0007986979,0.00005550818,8.00209e-7,0.01129216,0.00004943012,0.004124541,0.00001715734,0.00004195662,0.01553823],"study_design_scores_gemma":[0.003852515,0.0003479734,0.9649452,0.001685876,0.00009769698,6.566983e-7,0.0004520416,0.009744854,0.0185346,0.00002118834,0.0002283762,0.00008902668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974848,0.001610585,0.00005706263,0.0001285715,0.00006973201,0.0002443222,0.00005485445,0.000006355458,0.0003437281],"genre_scores_gemma":[0.9978511,0.001432349,0.0001767435,0.0001059193,0.00002653474,0.00003024588,0.0001280981,0.000009157739,0.0002398737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0154492,"threshold_uncertainty_score":0.348776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064189692337629,"score_gpt":0.2782868921133122,"score_spread":0.2576449951899359,"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."}}