{"id":"W1560555330","doi":"","title":"Providing Genetic Testing Through the Private Sector: A View From Canada","year":2001,"lang":"en","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Private sector; Genetic testing; Business; Political science; Biology; Genetics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00008653303,0.0001423245,0.0001671928,0.00003181722,0.002791514,0.00002023088,0.0001454331,0.0001264804,0.00002938065],"category_scores_gemma":[0.00005157879,0.0001058191,0.00006621193,0.0002929683,0.0003269166,0.00008529126,0.0001023962,0.0002743177,0.000005415071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002283001,"about_ca_system_score_gemma":0.002178576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7787921,"about_ca_topic_score_gemma":0.2545867,"domain_scores_codex":[0.9987046,0.00005477666,0.0002007585,0.0002609957,0.0005433675,0.0002355136],"domain_scores_gemma":[0.9992119,0.0001343651,0.0001148949,0.000249029,0.0001205683,0.0001692289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001718002,0.0007020414,0.5126504,0.0005718993,0.001967514,0.02482838,0.04630429,0.006040194,0.2261535,0.02789089,0.006436892,0.144736],"study_design_scores_gemma":[0.001673324,0.0001189746,0.5129819,0.0004669376,0.0004094302,0.002702443,0.003640074,0.008507555,0.003837186,0.002134714,0.4631555,0.0003719583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679735,0.01079615,0.001209876,0.009597782,0.0004525802,0.0003504247,0.00001264937,0.00007506961,0.009531984],"genre_scores_gemma":[0.9945359,0.0002172072,0.002042417,0.001065191,0.000342517,0.000006589926,0.00002505314,0.00001164726,0.001753517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5242054,"threshold_uncertainty_score":0.9985067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546706581756173,"score_gpt":0.1886358658277192,"score_spread":0.1731688000101575,"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."}}