{"id":"W4362692368","doi":"10.1002/cpz1.727","title":"Overview of Genotyping Technologies and Methods","year":2023,"lang":"en","type":"article","venue":"Current Protocols","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Multiple Sclerosis Society; Multiple Sclerosis Society of Canada; European Genomic Institute for Diabetes","keywords":"Genotyping; Computational biology; Computer science; Data science; Biology; Genetics; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025562,0.00008003066,0.000108985,0.00004714145,0.00003943765,0.000006282346,0.0001535103,0.00009825082,0.000002910446],"category_scores_gemma":[0.0000741726,0.00007021545,0.00004270858,0.0001673238,0.0001038135,0.000001256185,0.0002510982,0.00005924892,0.000002747714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002290552,"about_ca_system_score_gemma":0.00001899535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.177484e-7,"about_ca_topic_score_gemma":4.213486e-7,"domain_scores_codex":[0.9994375,0.00004532898,0.000146979,0.0002130425,0.00003551588,0.0001217102],"domain_scores_gemma":[0.9995641,0.00000817255,0.00006970851,0.0003040259,0.00003663202,0.00001742255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005867363,0.0000188861,0.0007169452,0.0001279332,0.000009485133,1.30841e-7,0.000005278341,5.136295e-7,0.652288,0.003874428,0.001046404,0.3419062],"study_design_scores_gemma":[0.0001172329,0.00008954894,0.0009526126,0.00006428033,0.000004797827,0.000002478239,0.00001607154,0.00003345889,0.5904308,0.00279488,0.405404,0.00008978024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.2577381,0.03278836,0.4967586,0.001915916,0.0002487291,0.2059216,0.000181213,0.001892735,0.002554806],"genre_scores_gemma":[0.2201094,0.01293253,0.200394,0.0002006347,0.0002298543,0.5650393,0.0005385973,0.0001233779,0.0004322408],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.4043576,"threshold_uncertainty_score":0.2863303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036788913858436,"score_gpt":0.4877241493952083,"score_spread":0.3840452580093646,"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."}}