{"id":"W2028517246","doi":"10.1186/1753-6561-5-s2-s6","title":"Haplotype inference in general pedigrees with two sites","year":2011,"lang":"en","type":"article","venue":"BMC Proceedings","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pedigree chart; Haplotype; Inference; Genetics; Haplotype estimation; Computer science; Genotype; Computational biology; Biology; Evolutionary biology; Artificial intelligence; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001759517,0.0001121802,0.0001269129,0.0000426283,0.00003607647,0.00000962338,0.0001353295,0.00009293928,0.00002561909],"category_scores_gemma":[0.0002199828,0.00009201657,0.00002748219,0.00009739523,0.00005635616,0.000004800917,0.00006682206,0.00006504476,0.00001362633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009591755,"about_ca_system_score_gemma":0.00005468527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001178138,"about_ca_topic_score_gemma":0.0005869119,"domain_scores_codex":[0.9992756,0.00001013107,0.0001542893,0.0002626428,0.00005819728,0.0002391288],"domain_scores_gemma":[0.9996783,0.000009874123,0.00007933343,0.00008367503,0.00009920132,0.00004961235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004604923,0.00003285922,0.9760363,0.000008263851,0.000009114665,4.465529e-7,0.0001805246,0.00001456082,0.02240196,0.0007318513,0.0003959526,0.0001421256],"study_design_scores_gemma":[0.0005969296,0.0003978312,0.9863428,0.00001071347,0.00001231135,0.000008215355,0.0001763764,0.0003834384,0.01000003,0.000789795,0.001062011,0.0002195768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923083,0.0001099547,0.0006248756,0.00003022072,0.00002540628,0.00009896699,0.000001948319,0.00001359498,0.00678677],"genre_scores_gemma":[0.9789339,0.00003714026,0.02010761,0.0001461245,0.0001250066,0.0000314446,0.00001489761,0.00001334976,0.0005905547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01948273,"threshold_uncertainty_score":0.3752327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04056643916711081,"score_gpt":0.2791012440359497,"score_spread":0.2385348048688389,"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."}}