{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004932438,0.0005524392,0.001105212,0.001223017,0.0008140804,0.001138729,0.001764257,0.001321828,0.003669534],"category_scores_gemma":[0.021918,0.001043029,0.0009378493,0.002257405,0.001052975,0.002768037,0.001579178,0.001472638,0.0004769301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007476959,"about_ca_system_score_gemma":0.0008967748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00525238,"about_ca_topic_score_gemma":0.005430195,"domain_scores_codex":[0.9973046,0.001359606,0.0001639998,0.0007322198,0.0002329263,0.000206805],"domain_scores_gemma":[0.973339,0.02280948,0.001474055,0.00157047,0.0004193178,0.0003877374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001280632,0.0003719822,0.04385228,0.0007111917,0.0004589695,0.001903792,0.0005480823,0.7748293,0.004305386,0.03539741,0.004358784,0.1319822],"study_design_scores_gemma":[0.000312892,0.0001155931,0.0110731,0.0000604559,0.0001354659,0.001095362,0.0001368147,0.7513034,0.001368149,0.2315726,0.002789106,0.00003709699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2303325,0.0009646643,0.7638875,0.0007907403,0.00002374053,0.0001372647,0.00199653,0.000461493,0.001405475],"genre_scores_gemma":[0.6296117,0.0009051992,0.3624135,0.0002547175,0.00009215603,0.0001776571,0.00449835,0.0001029412,0.001943733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00525238,"threshold_uncertainty_score":0.0260855,"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."}}