{"id":"W2223907814","doi":"10.69645/mgfd1496","title":"The genetics of French Canadians","year":2007,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi; Université Laval; Université de Montréal","funders":"","keywords":"Genetics; Genealogy; Political science; Evolutionary biology; Biology; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001699155,0.0005095087,0.0004322061,0.003259915,0.008126515,0.002736946,0.0009460769,0.001235855,0.006278657],"category_scores_gemma":[0.005173424,0.0002225468,0.0003590352,0.004362788,0.003756557,0.0005352961,0.00142626,0.0008002243,0.000361239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04119363,"about_ca_system_score_gemma":0.03977163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9843956,"about_ca_topic_score_gemma":0.9837193,"domain_scores_codex":[0.9976991,0.0005441927,0.00004900373,0.0003195246,0.0005072675,0.0008809404],"domain_scores_gemma":[0.9978918,0.000298698,0.0002150202,0.00009009424,0.001067456,0.0004369159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005679764,0.0001132781,0.3375563,0.0003071949,0.000229539,0.004559999,0.1073476,0.001044058,0.003689818,0.2432377,0.08079711,0.2205493],"study_design_scores_gemma":[0.00004042778,0.0000751711,0.5626004,0.0007525011,0.0001634277,0.002687193,0.05005704,0.0004707842,0.0008726602,0.01221965,0.3699165,0.0001441881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7499076,0.04405715,0.001434652,0.04262999,0.0008201267,0.00007229535,0.003356834,0.00006519734,0.1576562],"genre_scores_gemma":[0.9663064,0.008937587,0.000789963,0.001442126,0.0001135301,0.00002308177,0.0004354165,0.00002347607,0.02192836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04119363,"threshold_uncertainty_score":0.2988821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391404911830618,"score_gpt":0.2634737560999312,"score_spread":0.2495597069816251,"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."}}