{"id":"W1516191864","doi":"10.1002/9780470397428.ch17","title":"Machine Learning for Computational Haplotype Analysis","year":2008,"lang":"en","type":"other","venue":"","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Haplotype; Computer science; Artificial intelligence; Machine learning; Computational biology; Biology; Genetics; Gene; Genotype","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":[0.001714144,0.001101329,0.001468209,0.001133159,0.0004418302,0.001610333,0.002038309,0.0009864462,0.02705649],"category_scores_gemma":[0.007019446,0.0007237963,0.001060801,0.002276109,0.0007561341,0.002255487,0.001827027,0.003113563,0.01586604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006696864,"about_ca_system_score_gemma":0.0007474518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179397,"about_ca_topic_score_gemma":0.002330899,"domain_scores_codex":[0.9989452,0.0004531198,0.00008124882,0.0001896288,0.0002963863,0.00003443213],"domain_scores_gemma":[0.9963331,0.002417673,0.00008776756,0.0007643497,0.0003426435,0.00005436437],"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":[0.00004078889,0.00007404449,0.0005525886,0.0007275433,0.000149584,0.00009385118,0.00006653751,0.06428719,0.0009575235,0.138831,0.1328627,0.6613567],"study_design_scores_gemma":[0.00002913046,0.00001391149,0.0004211516,0.000124515,0.00002746604,0.0000821463,0.00001995569,0.5339305,0.001483117,0.3747059,0.08913172,0.00003045698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004706244,0.002482087,0.9840897,0.0006269441,0.0002866912,0.00006000503,0.0008709566,0.004449907,0.006663091],"genre_scores_gemma":[0.01685299,0.003575286,0.9606213,0.0004784499,0.0005816752,0.0005007667,0.002774513,0.001169369,0.01344565],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02705649,"threshold_uncertainty_score":0.09051293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333307983088816,"score_gpt":0.272521380105654,"score_spread":0.2591883002747658,"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."}}