{"id":"W7073858106","doi":"","title":"The Potential for Misusing “Genetic Predisposition” in Canadian Courts and Tribunals","year":2011,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic predisposition; Genetic discrimination; Genetic testing; Inheritance (genetic algorithm); Duty to warn; Confidentiality","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03079044,0.0004482194,0.0006981755,0.00941142,0.03764635,0.01113802,0.003598151,0.005590601,0.00590715],"category_scores_gemma":[0.1052501,0.000756475,0.0006296622,0.01274449,0.01086191,0.002704967,0.005392428,0.004617409,0.000378192],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1549829,"about_ca_system_score_gemma":0.1597499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9845879,"about_ca_topic_score_gemma":0.9903984,"domain_scores_codex":[0.9552859,0.007324912,0.001975271,0.002750338,0.0199893,0.01267435],"domain_scores_gemma":[0.9221991,0.02834986,0.007925848,0.00267422,0.03251019,0.006340774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001401097,0.0001235461,0.1687309,0.0002742762,0.0001350033,0.005428317,0.1329514,0.001150429,0.001073658,0.5287991,0.08512841,0.07606476],"study_design_scores_gemma":[0.00009936129,0.00009187156,0.3223979,0.001571622,0.0003889469,0.002330606,0.1623079,0.007445477,0.002402099,0.06183974,0.4384589,0.0006656221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6415694,0.004794174,0.005146533,0.1110109,0.0007435638,0.0005381333,0.00118606,0.0001194712,0.2348916],"genre_scores_gemma":[0.9673639,0.001065268,0.001994346,0.01322446,0.000109795,0.00006201776,0.0001491633,0.00003594437,0.01599515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1549829,"threshold_uncertainty_score":0.9801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580826675581647,"score_gpt":0.1919141902238801,"score_spread":0.1561059234680637,"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."}}