{"id":"W2517953645","doi":"10.1002/cpt.461","title":"Harmonizing Global Biospecimen Consent Practices to Advance Translational Research: A Call to Action","year":2016,"lang":"en","type":"article","venue":"Clinical Pharmacology & Therapeutics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Informed consent; Biobank; Call to action; Translational research; Translational medicine; Action (physics); Biorepository; Ethical standards; Medical research; Engineering ethics; Medicine; Alternative medicine; Medical education; Business; Bioinformatics; Pathology; Engineering; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["research_integrity"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01035194,0.0002286056,0.0005271415,0.0001580315,0.0002589963,0.00003573771,0.0005507886,0.0006448087,0.0007208911],"category_scores_gemma":[0.01026048,0.0001659139,0.0002175632,0.0007332613,0.001099903,0.0001394514,0.000290779,0.002571417,0.001705336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004183068,"about_ca_system_score_gemma":0.00179473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002000454,"about_ca_topic_score_gemma":0.0001874899,"domain_scores_codex":[0.9940836,0.001458857,0.001140826,0.000990722,0.001423117,0.0009028486],"domain_scores_gemma":[0.944457,0.05162667,0.000291463,0.0006125667,0.001796624,0.001215658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03034936,0.00546848,0.157463,0.0002615705,0.002681346,0.0004323716,0.0007099182,0.00002713609,0.4601637,0.004179252,0.1293401,0.2089238],"study_design_scores_gemma":[0.00785421,0.00497485,0.08807363,0.0003770368,0.0005489445,0.00005336902,0.0001954856,0.0001080833,0.01426314,0.01340475,0.8697037,0.0004428572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3751894,0.0003945005,0.003429949,0.6152503,0.001901311,0.001523089,0.00005483657,0.0001174169,0.002139126],"genre_scores_gemma":[0.789716,0.005425539,0.01321354,0.1837197,0.002711832,0.0001656884,0.000006033064,0.00006138871,0.004980227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7403635,"threshold_uncertainty_score":0.9997297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.924173956648261,"score_gpt":0.7454248348351911,"score_spread":0.1787491218130699,"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."}}