{"id":"W2917873343","doi":"10.1002/gepi.20274","title":"Introduction to Genetic Analysis Workshop 15 summaries","year":2007,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; National Institute on Aging; National Institutes of Health; National Heart, Lung, and Blood Institute; Genome Canada","keywords":"Computational biology; Genetic analysis; Biology; Genetics; Computer science; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.006087672,0.001494077,0.001016785,0.003500533,0.001607865,0.006811353,0.002372409,0.002702875,0.2022799],"category_scores_gemma":[0.01044748,0.0006145604,0.001730007,0.003182541,0.0007156405,0.002819989,0.003518711,0.003702195,0.1037455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003627565,"about_ca_system_score_gemma":0.003891459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003364898,"about_ca_topic_score_gemma":0.004163216,"domain_scores_codex":[0.9975991,0.0006924405,0.0002155724,0.0004626592,0.00073912,0.0002911229],"domain_scores_gemma":[0.9946736,0.0009831446,0.0002072455,0.0004580518,0.002586758,0.001091321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002869113,0.00003568803,0.00006749155,0.0001744875,0.000007878339,0.00005330784,0.00009641412,0.0001661222,0.0001621973,0.00514268,0.9185559,0.07550929],"study_design_scores_gemma":[0.000006513549,0.0000144567,0.000204672,0.0001522897,0.000002211732,0.00003641937,0.0000677869,0.00003329622,0.0000399672,0.00372134,0.9957135,0.000007639734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002242813,0.07928376,0.04867491,0.1551389,0.2145053,0.001562937,0.01271527,0.004487516,0.4813887],"genre_scores_gemma":[0.01034137,0.04650451,0.02477131,0.02982536,0.04388071,0.001295834,0.01426945,0.002363513,0.826748],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2022799,"threshold_uncertainty_score":0.6766937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366492145572135,"score_gpt":0.2889718777411017,"score_spread":0.2653069562853803,"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."}}