{"id":"W2745681143","doi":"10.1142/s0219720017500196","title":"Systematic investigations of gene effects on both topologies and supports: An <i>Echinococcus</i> illustration","year":2017,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Phylogenetics; Network topology; Phylogenetic tree; Biology; Computational biology; Nuclear gene; Coalescent theory; Tree (set theory); Evolutionary biology; Genome; Echinococcus; Computer science; Gene; Mathematics; Genetics; Zoology","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":[0.001255715,0.0004995012,0.0004914629,0.001132792,0.0003549796,0.0004824251,0.0003317129,0.0002756702,0.001600714],"category_scores_gemma":[0.004225279,0.0001158166,0.0005388249,0.001144291,0.0005597736,0.0004450622,0.000499506,0.0006228387,0.0001770285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631912,"about_ca_system_score_gemma":0.0002399482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000784746,"about_ca_topic_score_gemma":0.00080619,"domain_scores_codex":[0.9994672,0.000270918,0.00002898392,0.0001343499,0.00006057248,0.00003802945],"domain_scores_gemma":[0.9932587,0.005265391,0.0004592056,0.0005493301,0.0002885354,0.0001788832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00169521,0.0003309719,0.2149323,0.000870464,0.001210356,0.003755386,0.0009333864,0.1526099,0.4213714,0.01451791,0.003222175,0.1845504],"study_design_scores_gemma":[0.00009390921,0.0007669912,0.3187996,0.0001196029,0.0009878868,0.002491429,0.001006016,0.4720643,0.1551601,0.03732751,0.01096472,0.0002178155],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9184895,0.0009069653,0.07795477,0.0002327492,0.00002211074,0.00002003529,0.0009577727,0.0003482648,0.001067821],"genre_scores_gemma":[0.9628373,0.0003156166,0.03550463,0.00007288616,0.00001320817,0.00002127485,0.0009095521,0.0001162804,0.0002093754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001600714,"threshold_uncertainty_score":0.006640971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301784605958207,"score_gpt":0.2589808945093313,"score_spread":0.2459630484497493,"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."}}