{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1436255,0.001185863,0.001674317,0.006275249,0.001120666,0.006203447,0.001810109,0.0017355,0.003131185],"category_scores_gemma":[0.4360776,0.000715408,0.002975781,0.00555874,0.003356322,0.00623691,0.00292931,0.002313927,0.001056733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002648122,"about_ca_system_score_gemma":0.002357124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224959,"about_ca_topic_score_gemma":0.00173977,"domain_scores_codex":[0.7676963,0.1875899,0.02484034,0.004798463,0.01364921,0.001425754],"domain_scores_gemma":[0.5606444,0.3223136,0.06002163,0.01648947,0.03879941,0.001731433],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002733198,0.0004579604,0.5089399,0.008651948,0.00190936,0.0003994842,0.1063464,0.001430152,0.002516309,0.007849727,0.02362248,0.335143],"study_design_scores_gemma":[0.001506259,0.005340398,0.6353586,0.02347979,0.003028308,0.003317088,0.1545181,0.02101808,0.01363913,0.06409404,0.07339916,0.001301155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7908449,0.008690843,0.1223599,0.03210267,0.002814969,0.006486989,0.009459547,0.001066148,0.02617403],"genre_scores_gemma":[0.9254484,0.001695111,0.06350145,0.002278772,0.0004004723,0.004852281,0.001210794,0.0001843542,0.000428429],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8563745,"threshold_uncertainty_score":0.7595734,"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."}}