{"id":"W2332885613","doi":"10.1016/j.ygeno.2016.03.004","title":"Evaluating the efficacy of the new Ion PGM Hi-Q Sequencing Kit applied to bacterial genomes","year":2016,"lang":"en","type":"article","venue":"Genomics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Ion semiconductor sequencing; Biology; Genome; Genomics; Computational biology; Personal genomics; DNA sequencing; Genetics; Whole genome sequencing; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0002725569,0.000141092,0.0001403998,0.00001516043,0.0001519788,0.00001682142,0.0004109173,0.00006829166,0.00001541461],"category_scores_gemma":[0.0001024033,0.00007399928,0.00009872945,0.00005933267,0.00007025625,4.439072e-7,0.0004099183,0.0000384142,0.00001255203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004705928,"about_ca_system_score_gemma":0.0002864392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002352277,"about_ca_topic_score_gemma":0.00003321705,"domain_scores_codex":[0.9991156,0.00004279762,0.0002396089,0.0002702801,0.0001042498,0.0002274889],"domain_scores_gemma":[0.9991822,0.00004775263,0.0001225553,0.0005383504,0.00005358425,0.00005558826],"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":[0.00009669533,0.000005849006,0.0001822933,0.000003081415,0.00005308434,6.56213e-8,0.0003468876,0.0004673555,0.969881,0.0001389934,0.000373007,0.02845171],"study_design_scores_gemma":[0.0009354021,0.0002237462,0.008804034,0.00001236601,0.00005080287,0.000005315007,0.0001253071,0.00001098474,0.9281698,0.0004938418,0.06095937,0.0002089814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969836,0.0004574666,0.0002907857,0.0008853928,0.0004501079,0.000386158,0.00002317997,0.000002445664,0.0005208104],"genre_scores_gemma":[0.9967442,0.0001411864,0.001365016,0.0003044916,0.0008776124,0.00001405773,0.000003921109,0.00002262303,0.000526946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06058636,"threshold_uncertainty_score":0.3017603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258217840077209,"score_gpt":0.2752754658381403,"score_spread":0.2426932874373682,"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."}}