{"id":"W2105601126","doi":"10.1371/journal.pmed.1001010","title":"Predicting Harms and Benefits in Translational Trials: Ethics, Evidence, and Uncertainty","year":2011,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Andrew W. Mellon Foundation","keywords":"Clinical trial; Medicine; Translational research; Engineering ethics; Research ethics; Disease; Intensive care medicine; Pathology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.5995548,0.001945255,0.00585483,0.007630235,0.005354547,0.02119998,0.007093496,0.0269624,0.002114981],"category_scores_gemma":[0.7494297,0.00187215,0.00172152,0.006088206,0.06927554,0.02981788,0.01247199,0.02569309,0.0009247524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01096178,"about_ca_system_score_gemma":0.02057999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00209303,"about_ca_topic_score_gemma":0.002399945,"domain_scores_codex":[0.3020624,0.5836093,0.04198921,0.01072751,0.05906304,0.002548613],"domain_scores_gemma":[0.07145283,0.8701238,0.03133637,0.01393011,0.01125929,0.001897603],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009655583,0.0002386233,0.01348013,0.006838028,0.00138893,0.001784186,0.007637627,0.006690208,0.0004792595,0.7211757,0.03865968,0.200662],"study_design_scores_gemma":[0.0001393487,0.0001046453,0.001423894,0.005431721,0.0001423895,0.0005247339,0.001016898,0.003011544,0.0003405435,0.9688845,0.01887763,0.0001021459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01134018,0.09494822,0.1532146,0.7156838,0.004472177,0.0009680259,0.000331932,0.000111667,0.01892932],"genre_scores_gemma":[0.5017228,0.0513262,0.1871225,0.2365693,0.01880713,0.002733828,0.0002517361,0.0001851827,0.001281328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4004452,"threshold_uncertainty_score":0.4938203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8930887113695977,"score_gpt":0.5964691452531207,"score_spread":0.296619566116477,"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."}}