{"id":"W2139723176","doi":"10.1111/1755-0998.12405","title":"High‐throughput <scp>SNP</scp>s for all: genotyping‐in‐thousands","year":2015,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Biology; Evolutionary biology; Population genomics; Genetic diversity; Population; Phylogeography; Genomics; Data science; Ecology; Genome; Phylogenetic tree; Genetics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003884883,0.0002770685,0.0003611163,0.00009432922,0.00009017641,0.00003015803,0.0003588369,0.0003261729,0.000002707966],"category_scores_gemma":[0.0003702,0.0002813923,0.0001470789,0.0001014746,0.0001531844,0.000001164877,0.0002695575,0.0001081051,0.00001497028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003242137,"about_ca_system_score_gemma":0.00008663029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004465757,"about_ca_topic_score_gemma":0.0002459532,"domain_scores_codex":[0.9982248,0.0001123249,0.0003271156,0.0006113509,0.000118704,0.0006056853],"domain_scores_gemma":[0.9991075,0.00006544371,0.0001233341,0.0004194808,0.000128324,0.000155915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002263661,0.0003667942,0.08823588,0.0000749665,0.0007999245,0.0001079244,0.002039338,0.005841089,0.8768321,0.001512785,0.02226549,0.001697374],"study_design_scores_gemma":[0.004082542,0.001751267,0.033491,0.00001106193,0.0001236846,0.00006268935,0.0008633003,0.0001861717,0.1608167,0.00425991,0.7939568,0.0003948938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913275,0.004846937,0.001017362,0.0003688654,0.0003507962,0.0004507752,0.00003041712,0.00001246724,0.001594865],"genre_scores_gemma":[0.9932328,0.0001724581,0.003978698,0.001399231,0.0002545438,0.0001951363,0.00007748467,0.00005842315,0.0006312092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7716913,"threshold_uncertainty_score":0.9999638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763044640783779,"score_gpt":0.2545286670069575,"score_spread":0.2368982205991197,"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."}}