{"id":"W4378195027","doi":"10.1126/science.add5300","title":"On the genes, genealogies, and geographies of Quebec","year":2023,"lang":"en","type":"article","venue":"Science","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; McGill University; McGill Genome Centre","funders":"","keywords":"Population; Genealogy; Metadata; Genetic genealogy; Geography; Range (aeronautics); Evolutionary biology; Population genetics; Genetic data; TRACE (psycholinguistics); Biology; Demography; History; Computer science; Sociology; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0004243013,0.0000387369,0.00003595403,0.00005801917,0.0001152824,0.00001655563,0.0002305343,0.00002087773,0.000005322016],"category_scores_gemma":[0.0001380755,0.00002333622,0.00001619725,0.0004251604,0.001380244,0.000001199587,0.0001731905,0.00002454788,0.000007112305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001698746,"about_ca_system_score_gemma":0.00008982408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001850343,"about_ca_topic_score_gemma":0.0002675095,"domain_scores_codex":[0.9994274,0.00001478745,0.00005225755,0.0001664279,0.000183669,0.0001554947],"domain_scores_gemma":[0.9996485,0.00002143537,0.00001540289,0.0002360955,0.00004867271,0.00002993713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001380703,0.000007346014,0.004400655,0.000007381016,0.000006490187,0.000001038746,0.00006300549,0.00005535492,0.9482957,0.005628843,0.005471454,0.03604893],"study_design_scores_gemma":[0.0001291466,0.0002954339,0.2145314,0.000008391977,0.000002545729,0.000003858712,0.0004300111,0.0002414772,0.7601671,0.003651599,0.02043175,0.0001072847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979255,0.0007015891,0.00002169191,0.0004710538,0.0000475809,0.0000591419,0.000003705385,0.000004438246,0.0007652888],"genre_scores_gemma":[0.9978856,0.0008689735,0.000068579,0.00008729758,0.00001848566,0.000004953486,0.000002961576,0.000002365674,0.001060724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2101307,"threshold_uncertainty_score":0.5085566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762343921009481,"score_gpt":0.2828314688507743,"score_spread":0.2652080296406795,"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."}}