{"id":"W1664794056","doi":"10.1186/s40504-015-0025-z","title":"Governing the research-care divide in clinical biobanking: Dutch perspectives","year":2015,"lang":"en","type":"review","venue":"Life Sciences Society and Policy","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Biobank; Objectification; Health care; Engineering ethics; Scale (ratio); Medicine; Public relations; Political science; Engineering; Bioinformatics; Geography; Biology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04908441,0.0002862341,0.001390769,0.0001988821,0.0008339047,0.0001988368,0.001220837,0.001145633,0.00003114542],"category_scores_gemma":[0.07919922,0.0001596324,0.0008197638,0.003109892,0.01057078,0.0001168787,0.001347943,0.008709162,0.00008804842],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005218089,"about_ca_system_score_gemma":0.01736629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009008604,"about_ca_topic_score_gemma":0.0001996725,"domain_scores_codex":[0.9922461,0.001853133,0.001042236,0.001045565,0.00288568,0.0009273113],"domain_scores_gemma":[0.9589798,0.03800789,0.0003629412,0.0009330631,0.0009182971,0.0007980452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002350722,0.0002131986,0.006887042,0.01611364,0.0002109762,0.00001855609,0.03773576,7.043341e-7,6.397826e-8,0.07975924,0.02065246,0.8383849],"study_design_scores_gemma":[0.0002999882,0.0004047483,0.0005193623,0.008189509,0.00007803125,0.00001361994,0.02615173,0.00001392584,1.878471e-8,0.007820205,0.9563385,0.0001703857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000210553,0.966185,0.000001674815,0.01705102,0.0001458521,0.0008102385,0.00003013979,0.00002505346,0.01554042],"genre_scores_gemma":[0.00066409,0.9929681,0.0002971446,0.001127067,0.003160569,0.00005132334,0.000006938049,0.00002630289,0.001698433],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.935686,"threshold_uncertainty_score":0.9935778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8662619201321612,"score_gpt":0.7337373140382967,"score_spread":0.1325246060938645,"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."}}