{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02164289,0.0001502633,0.0007012414,0.0002247866,0.00008247157,0.000007905395,0.0001103054,0.0004562704,0.000466124],"category_scores_gemma":[0.1794164,0.0001035464,0.00003770581,0.0002542426,0.0008304195,0.0001110291,0.00006645872,0.002817218,0.000004512943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003055806,"about_ca_system_score_gemma":0.000324488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007007045,"about_ca_topic_score_gemma":0.0009714494,"domain_scores_codex":[0.9966307,0.0004459357,0.0009378181,0.0004483,0.001250019,0.0002872313],"domain_scores_gemma":[0.9466155,0.05199576,0.0001659803,0.0003112229,0.0004863391,0.0004251835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001643104,0.0003114298,0.9443883,0.001627607,0.000169224,0.00008426904,0.02171414,0.000004449996,0.001217469,0.01607914,0.000118434,0.01264249],"study_design_scores_gemma":[0.01088006,0.002683591,0.8713256,0.02327804,0.000521129,0.00007034949,0.002431648,0.005104277,0.0008738055,0.08229242,0.0002372935,0.0003017823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297065,0.01176526,0.00005524432,0.0530694,0.0001624014,0.0008622012,0.000009502731,0.00005289566,0.004316623],"genre_scores_gemma":[0.9842494,0.01244309,0.001100541,0.001443916,0.0004587572,0.00003086482,0.000008021098,0.00001942118,0.0002460051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1577735,"threshold_uncertainty_score":0.9994833,"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."}}