{"id":"W2912352469","doi":"10.1002/eahr.406002","title":"Broad Consent for Future Research: International Perspectives","year":2018,"lang":"en","type":"article","venue":"IRB Ethics and Human Research","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biobank; Informed consent; Political science; Public relations; Medicine; Public administration; Engineering ethics; Law; Business; Alternative medicine; Engineering; Bioinformatics; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.1939234,0.001302366,0.002130303,0.003967916,0.007992852,0.02543165,0.005046786,0.03464693,0.01093307],"category_scores_gemma":[0.1607787,0.0008887906,0.002382031,0.004460393,0.07375964,0.03266149,0.01576889,0.04361685,0.001890178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02425736,"about_ca_system_score_gemma":0.0625743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214144,"about_ca_topic_score_gemma":0.01294329,"domain_scores_codex":[0.8710805,0.09458627,0.007364004,0.006771328,0.01390642,0.006291605],"domain_scores_gemma":[0.7036111,0.2346773,0.007223214,0.01362894,0.03075492,0.01010454],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001967155,0.00003046918,0.0003016719,0.0002851999,0.00001321202,0.0001585044,0.002172136,0.0002521922,0.00006098919,0.9504296,0.02413012,0.02214615],"study_design_scores_gemma":[0.00004218374,0.00006619765,0.0006729892,0.007055584,0.00003106767,0.0005096553,0.006657969,0.0004079508,0.0001847743,0.613945,0.3703498,0.00007692549],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0008376612,0.05303022,0.007307658,0.8877959,0.002833369,0.00005636697,0.00007013631,0.0000312931,0.0480374],"genre_scores_gemma":[0.2164446,0.1381024,0.02486576,0.5845209,0.02046036,0.000868768,0.000380019,0.0001968246,0.01416043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8060766,"threshold_uncertainty_score":0.994036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9301532964856326,"score_gpt":0.7676100205834065,"score_spread":0.1625432759022261,"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."}}