{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006545935,0.002432714,0.002246004,0.007467589,0.00149831,0.003695033,0.004722294,0.003996152,0.03322218],"category_scores_gemma":[0.009804871,0.002377141,0.001610995,0.004480531,0.0009335174,0.002608879,0.001783014,0.003747332,0.05523804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405052,"about_ca_system_score_gemma":0.00227023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001965743,"about_ca_topic_score_gemma":0.001949771,"domain_scores_codex":[0.9914978,0.002176125,0.0009929562,0.001517494,0.003422213,0.0003933733],"domain_scores_gemma":[0.99572,0.001559476,0.0003405045,0.0007185884,0.00143589,0.0002254842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002889433,0.0002473269,0.001329599,0.006360688,0.0001892478,0.0004620829,0.0002691129,0.001935744,0.0483521,0.02277066,0.2244456,0.6933489],"study_design_scores_gemma":[0.00003511552,0.0001741375,0.001039577,0.0008839655,0.00008561116,0.001474581,0.00005710541,0.001205144,0.01804421,0.01127741,0.9655827,0.0001404909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003708065,0.1564792,0.7140923,0.00745408,0.006104029,0.00464154,0.02898188,0.01648587,0.06205299],"genre_scores_gemma":[0.01234283,0.1631812,0.7014831,0.006062538,0.003012175,0.009165895,0.04093937,0.003386094,0.06042689],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03322218,"threshold_uncertainty_score":0.1111392,"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."}}