{"id":"W2012266566","doi":"10.1159/000051124","title":"From Community Genetics to Community Genomics: The Quebec Experience","year":2000,"lang":"en","type":"article","venue":"Public Health Genomics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre; Université Laval; Université de Montréal; Fonds de Recherche du Québec - Santé; Université du Québec à Chicoutimi","funders":"","keywords":"Genomics; Multidisciplinary approach; Population; Health care; Medical genetics; Medicine; Genetics; Biology; Genome; Political science; Sociology; Environmental health; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001051027,0.0002719004,0.0002605596,0.00004452456,0.001558984,0.0001989838,0.001492511,0.0001483016,0.000189229],"category_scores_gemma":[0.0001036372,0.0002386703,0.0001232544,0.0001523628,0.0002032303,0.000009437227,0.0005066517,0.0005275892,0.0001181443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002483449,"about_ca_system_score_gemma":0.001134333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03713825,"about_ca_topic_score_gemma":0.01653675,"domain_scores_codex":[0.9972672,0.001068996,0.0004920195,0.0003174326,0.00014677,0.0007075362],"domain_scores_gemma":[0.9971718,0.00008314796,0.000127858,0.001856057,0.0001064768,0.0006547178],"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":[0.000436618,0.002238692,0.006199707,0.0001238755,0.0004448926,0.000008539027,0.13176,0.002910977,0.0733838,0.0003254164,0.0400309,0.7421365],"study_design_scores_gemma":[0.0003546982,0.0002134905,0.02045065,0.000005740953,0.000007971483,0.000009091701,0.008448024,0.0001060714,0.00120715,0.0002225123,0.9686306,0.0003440764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908815,0.001226818,0.0005742322,0.005373282,0.0002466784,0.0005163357,0.0004278499,0.00002864093,0.0007246741],"genre_scores_gemma":[0.9780746,0.001187045,0.001099027,0.01769636,0.0004861997,0.00007721929,0.0007251303,0.00005344914,0.0006010403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9285996,"threshold_uncertainty_score":0.9997408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04609511579743075,"score_gpt":0.3049821706959773,"score_spread":0.2588870548985465,"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."}}