{"id":"W2328481225","doi":"10.1056/nejmp1311461","title":"Assessing Participant-Centered Outcomes to Improve Clinical Research","year":2013,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; University of Waterloo","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources","keywords":"Medicine; Informed consent; Outcome (game theory); Value (mathematics); Patient-centered care; Outcomes research; MEDLINE; Family medicine; Medical education; Alternative medicine; Pathology","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":["metaresearch"],"category_scores_codex":[0.7017627,0.002446891,0.003623333,0.00874352,0.003561436,0.01200516,0.003919305,0.003954256,0.006839776],"category_scores_gemma":[0.720278,0.00151704,0.002899768,0.007192007,0.004839534,0.0150424,0.009319086,0.006077741,0.002692834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006257268,"about_ca_system_score_gemma":0.02473647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009900498,"about_ca_topic_score_gemma":0.00212165,"domain_scores_codex":[0.2087402,0.6952531,0.0496555,0.009478806,0.03404908,0.002823316],"domain_scores_gemma":[0.1459939,0.5992009,0.06856333,0.0628764,0.1183459,0.005019473],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002801395,0.004966012,0.1071781,0.02087349,0.001614577,0.0003793731,0.05882838,0.002011901,0.004830171,0.04079393,0.03561245,0.7201102],"study_design_scores_gemma":[0.004142134,0.01581076,0.3278036,0.04079896,0.003703309,0.001498364,0.05645205,0.0122533,0.03741305,0.1826699,0.3159396,0.001515052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.148189,0.01332205,0.6098173,0.06321498,0.006948244,0.07749365,0.004773614,0.003366844,0.07287429],"genre_scores_gemma":[0.2837284,0.003591509,0.5588246,0.008797531,0.001251977,0.1394052,0.001732457,0.0004720314,0.002196267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2982373,"threshold_uncertainty_score":0.3677797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7569563989298852,"score_gpt":0.6318733445999105,"score_spread":0.1250830543299747,"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."}}