{"id":"W4401029844","doi":"10.1139/facets-2023-0101","title":"Still using genetic data? A comparative review of Canadian life insurance application forms before and after the GNDA","year":2024,"lang":"en","type":"review","venue":"FACETS","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"Genome Canada","keywords":"Life insurance; Actuarial science; Purchasing; Genetic discrimination; Genetic testing; Business; Medicine; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002493135,0.000217005,0.001114541,0.0002191548,0.00003250314,0.000009239277,0.0002190028,0.0001349912,0.000006432754],"category_scores_gemma":[0.0001829895,0.0001111002,0.00006837729,0.0006267709,0.0001527503,0.0000394848,0.0001259779,0.0003641551,0.00002318108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008420405,"about_ca_system_score_gemma":0.0009332678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003319689,"about_ca_topic_score_gemma":0.004973588,"domain_scores_codex":[0.9987104,0.00003949688,0.0004572598,0.0004545671,0.0001395557,0.0001987052],"domain_scores_gemma":[0.9984208,0.00002264534,0.0002181546,0.001122379,0.0000874067,0.0001286035],"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":[0.000004004223,0.000007777028,0.0002279116,0.268441,0.0001092445,0.0000061688,0.0001057036,5.688876e-8,1.241587e-7,0.00004520125,0.001304089,0.7297487],"study_design_scores_gemma":[0.00004056232,0.0000374625,0.001843261,0.06823455,0.000659719,0.0001034223,0.00001598821,0.00001410977,2.891719e-7,0.00004161074,0.9289261,0.00008292771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006374554,0.9947255,0.00001381196,0.0007888054,0.00006515712,0.003053193,0.0005923816,0.00002661677,0.00009706974],"genre_scores_gemma":[0.00422766,0.9944736,0.0004125583,0.0003001743,0.00007631288,0.0002679784,0.0001943167,0.00002038361,0.00002700465],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.927622,"threshold_uncertainty_score":0.5018399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1671044024652628,"score_gpt":0.425037386261917,"score_spread":0.2579329837966542,"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."}}