{"id":"W2402543137","doi":"10.1080/11287462.2016.1183442","title":"Disclosure of insurability risks in research and clinical consent forms","year":2016,"lang":"en","type":"article","venue":"Global Bioethics","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Insurability; Underwriting; Informed consent; Genetic testing; Actuarial science; Medicine; Psychology; Business; Insurance policy; Alternative medicine; Pathology; Insurance law","routes":{"ca_aff":true,"ca_fund":true,"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","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1975554,0.0007661748,0.0008986519,0.004429812,0.006376092,0.005599956,0.002722219,0.004422962,0.009447171],"category_scores_gemma":[0.2851553,0.0009156928,0.0006539836,0.005313364,0.009004837,0.003530529,0.0025769,0.004152312,0.002482273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02775135,"about_ca_system_score_gemma":0.09282231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2160653,"about_ca_topic_score_gemma":0.3186607,"domain_scores_codex":[0.7647925,0.1500169,0.03169134,0.006432771,0.03953234,0.007534105],"domain_scores_gemma":[0.5409385,0.2795331,0.02821305,0.0494508,0.09760579,0.00425874],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001263186,0.0009832528,0.05205797,0.003554518,0.0001149951,0.005234484,0.1624183,0.001818621,0.01279709,0.2777468,0.1731002,0.3089106],"study_design_scores_gemma":[0.0004544883,0.0004924211,0.0622221,0.006403395,0.0001107557,0.002695283,0.05176784,0.005187572,0.01069533,0.04218166,0.8173238,0.0004652668],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3172723,0.006745458,0.1971045,0.07806374,0.002811712,0.1001448,0.01680323,0.001365931,0.2796883],"genre_scores_gemma":[0.6899217,0.003044636,0.1714664,0.02601666,0.0005128228,0.03927538,0.005446035,0.0003565014,0.06395999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.995577,"threshold_uncertainty_score":0.989557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5764381282337164,"score_gpt":0.5867609443454295,"score_spread":0.01032281611171304,"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."}}