{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004246655,0.001741648,0.002718478,0.00205904,0.001666666,0.005088679,0.003376112,0.004115511,0.09149411],"category_scores_gemma":[0.01182452,0.00166429,0.002456356,0.003920476,0.001053792,0.003359903,0.004198415,0.007629519,0.0618076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282235,"about_ca_system_score_gemma":0.001621261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003118434,"about_ca_topic_score_gemma":0.01068405,"domain_scores_codex":[0.9969558,0.0004732356,0.0002117438,0.0008297096,0.001259424,0.0002701225],"domain_scores_gemma":[0.9885365,0.004012132,0.001171873,0.002507333,0.002323351,0.001448767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003052885,0.00003943615,0.001897825,0.001084735,0.000256355,0.0002906363,0.0001841381,0.0007539998,0.01680099,0.004876962,0.9271966,0.04631305],"study_design_scores_gemma":[0.0001716899,0.00007270737,0.00646967,0.0003257959,0.00015558,0.0005202075,0.0001384326,0.00373179,0.01212313,0.01492933,0.9611646,0.0001972211],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01262302,0.01217285,0.1822681,0.03792734,0.03257298,0.000946724,0.5173216,0.1140811,0.09008621],"genre_scores_gemma":[0.06743472,0.01104372,0.1995685,0.06950623,0.0121106,0.003952074,0.4855513,0.05991701,0.09091584],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09149411,"threshold_uncertainty_score":0.3060783,"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."}}