{"id":"W6980668566","doi":"","title":"Conception d'algorithmes probabilistes pour l'estimation des génotypes d'un corpus de généalogie par chaînes de Markov","year":2009,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Maximum likelihood; Markov chain; Branching process","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008788276,0.002051457,0.002613632,0.003771063,0.001965092,0.006408598,0.00575988,0.003586234,0.009663378],"category_scores_gemma":[0.03419894,0.002143703,0.004026335,0.002556187,0.002719578,0.006495921,0.003447445,0.006298223,0.004284498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004157882,"about_ca_system_score_gemma":0.004733668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01835992,"about_ca_topic_score_gemma":0.01829264,"domain_scores_codex":[0.9957458,0.001573041,0.0003283021,0.001429019,0.0006596731,0.0002641453],"domain_scores_gemma":[0.9725366,0.02295856,0.0008039552,0.001493222,0.001886573,0.0003209277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005051213,0.000167044,0.004919366,0.0004982976,0.0004358674,0.0002245455,0.001111647,0.3948845,0.003731058,0.1272395,0.006360995,0.4599221],"study_design_scores_gemma":[0.00003948246,0.00003378698,0.0004679634,0.00008650804,0.0000440087,0.00007581199,0.00009144663,0.936156,0.00143754,0.05825159,0.003284792,0.00003111439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00456516,0.0001938038,0.9924423,0.0003002901,0.00004807162,0.0001094351,0.000215209,0.001257861,0.0008680062],"genre_scores_gemma":[0.06770546,0.0004488108,0.9213108,0.0003915404,0.0001734131,0.001155096,0.002040364,0.0007766861,0.005997777],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01835992,"threshold_uncertainty_score":0.04647738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007517234314138928,"score_gpt":0.1983347997622221,"score_spread":0.1908175654480832,"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."}}