{"id":"W2578105704","doi":"10.1002/cncr.30530","title":"What do these scores mean? Presenting patient‐reported outcomes data to patients and clinicians to improve interpretability","year":2017,"lang":"en","type":"article","venue":"Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute; Patient-Centered Outcomes Research Institute","keywords":"Medicine; Interpretability; Confidence interval; Odds ratio; CLARITY; Family medicine; Internal medicine; Artificial intelligence","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":[0.0002547707,0.0001844506,0.0003876205,0.000053104,0.0001373181,0.0002875568,0.0004075468,0.000068708,0.00009742523],"category_scores_gemma":[0.001055395,0.0001437093,0.00006709241,0.00005979049,0.00008325797,0.0005643173,0.000992259,0.0001541946,0.000009529113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009291399,"about_ca_system_score_gemma":0.00009523717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003485494,"about_ca_topic_score_gemma":0.01497283,"domain_scores_codex":[0.9982708,0.00003489232,0.0003802981,0.0006994781,0.0003221761,0.0002923505],"domain_scores_gemma":[0.9970025,0.00008053684,0.0002044088,0.002160449,0.0002502931,0.0003018172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001766084,0.00005086558,0.7734168,0.00005786139,0.00007222185,0.000005803315,0.005752519,3.398218e-7,0.00005267398,0.000001565903,0.0005792964,0.2198334],"study_design_scores_gemma":[0.0007276392,0.000172309,0.9805951,0.0004182393,0.0001279914,7.42245e-7,0.001550445,0.00004013303,0.000462655,0.00002705833,0.01567718,0.000200511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919562,0.0007831965,0.00001314049,0.00211179,0.003647393,0.0009167077,0.0001834306,0.00003579426,0.0003523027],"genre_scores_gemma":[0.9965888,0.000185138,0.00005300222,0.002523001,0.0001772146,0.0001113032,0.00002760205,0.00002767989,0.0003062069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2196329,"threshold_uncertainty_score":0.835519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07231579434785396,"score_gpt":0.3913087733240804,"score_spread":0.3189929789762265,"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."}}