{"id":"W3090115917","doi":"10.1007/s00239-020-09967-9","title":"The Effects of Ecological Traits on the Rate of Molecular Evolution in Ray-Finned Fishes: A Multivariable Approach","year":2020,"lang":"en","type":"article","venue":"Journal of Molecular Evolution","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Biology; Phylogenetic tree; Rate of evolution; Trait; Evolutionary biology; Selection (genetic algorithm); Ecology; Barcode; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009885328,0.0001386688,0.0002252608,0.00007548516,0.0000813696,0.00001926732,0.0003823279,0.0001639176,0.000004264127],"category_scores_gemma":[0.002254253,0.00009121294,0.0002168068,0.0003363475,0.0001502873,0.000009867077,0.00004781939,0.0002315155,0.000002467529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005121382,"about_ca_system_score_gemma":0.0001388818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000547787,"about_ca_topic_score_gemma":0.000001355435,"domain_scores_codex":[0.9980015,0.0006683028,0.0006700764,0.0002117679,0.0002754552,0.0001729154],"domain_scores_gemma":[0.9984896,0.0001338873,0.0007019622,0.0002571511,0.0003542271,0.00006321473],"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":[0.000295573,0.0002449198,0.0001227542,0.00005795007,0.00008114015,0.000002979378,0.00008103872,0.00337357,0.9819139,0.01304226,0.0006441602,0.0001397309],"study_design_scores_gemma":[0.001458715,0.001038195,0.02896205,0.00007206456,0.00006899138,0.00001184945,0.0002913959,0.002694474,0.9637491,0.0006224448,0.0008846872,0.0001460437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207892,0.001219897,0.07566871,0.001548558,0.0001475496,0.0004065216,0.000004945188,0.000003873677,0.0002106944],"genre_scores_gemma":[0.9990029,0.00008118166,0.0005707013,0.0002251844,0.00004892483,0.00002003568,0.00001102459,0.00001355223,0.00002647513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07821367,"threshold_uncertainty_score":0.3719556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187661753189309,"score_gpt":0.2301474909904023,"score_spread":0.2182708734585092,"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."}}