{"id":"W6969468717","doi":"10.5683/sp2/jqgmvl","title":"Data from: Phylogenomics from whole genome sequences using aTRAM","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phylogenomics; Genome; Coalescent theory; Phylogenetic tree; Gene; Genomics; Phylogenetics; Whole genome sequencing; Sequence assembly; DNA sequencing","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":[0.002185866,0.002687124,0.001591343,0.004954082,0.001427685,0.001904437,0.002947162,0.001857604,0.01405841],"category_scores_gemma":[0.004538968,0.0008238249,0.001904419,0.006153208,0.0005841494,0.001103965,0.002266395,0.001932772,0.01673061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009158982,"about_ca_system_score_gemma":0.001633682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008178587,"about_ca_topic_score_gemma":0.0143986,"domain_scores_codex":[0.9980403,0.0003217951,0.0002187367,0.0007839521,0.0004130107,0.0002224117],"domain_scores_gemma":[0.9985518,0.0003733956,0.0002091542,0.0004234858,0.0002817652,0.0001604284],"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":[0.002379,0.0006337188,0.03131942,0.008796012,0.00161184,0.001155859,0.0006669974,0.009050051,0.05246508,0.00348549,0.8326834,0.05575327],"study_design_scores_gemma":[0.001084554,0.0002935183,0.05893666,0.0003767581,0.0004302721,0.0008286877,0.0003829312,0.009447233,0.01700666,0.004386398,0.9066105,0.0002158025],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009983413,0.0003759189,0.002695902,0.0000989828,0.00006262671,0.00006454965,0.9802781,0.0051603,0.001280163],"genre_scores_gemma":[0.003461981,0.00005007225,0.003385666,0.00002302149,0.000004687299,0.00008380886,0.9926521,0.0001785561,0.0001601863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01405841,"threshold_uncertainty_score":0.04703009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1182205642525099,"score_gpt":0.3241019393841292,"score_spread":0.2058813751316192,"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."}}