{"id":"W2623354643","doi":"10.1371/journal.pone.0178240","title":"Shift from slow- to fast-water habitats accelerates lineage and phenotype evolution in a clade of Neotropical suckermouth catfishes (Loricariidae: Hypoptopomatinae)","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; National Science Foundation","keywords":"Cladogenesis; Loricariidae; Habitat; Biology; Clade; Lineage (genetic); Ecology; Diversification (marketing strategy); Niche; Ecological niche; Ecosystem; Biodiversity; Phylogenetics; Evolutionary biology; Fishery; 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":[0.00009165167,0.0001448804,0.0003143466,0.00003781322,0.0001527146,0.00003984863,0.0003145226,0.0001641958,0.0003900912],"category_scores_gemma":[0.0001376019,0.0001154847,0.00002899231,0.00004643857,0.0003288852,0.0001892728,0.0003676802,0.0001636404,0.0001978035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009346071,"about_ca_system_score_gemma":0.000007172102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002992337,"about_ca_topic_score_gemma":0.004565192,"domain_scores_codex":[0.9988332,0.0000569332,0.0002663944,0.0003713394,0.000160954,0.0003111861],"domain_scores_gemma":[0.9993895,0.00005440526,0.00008914012,0.0003505496,0.00001116983,0.0001052861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004925454,0.0004595505,0.7403588,0.000008016158,0.0000130227,0.000004662712,0.0004965273,0.000002169022,0.2582737,0.000007126836,0.00004553683,0.0002816405],"study_design_scores_gemma":[0.0004170029,0.0002232717,0.9619532,0.00002515961,0.00004633958,3.268054e-7,0.0000679692,0.0001122861,0.03672521,0.0002699347,0.00001411052,0.0001452233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979172,0.00003194657,0.00001410977,0.001118618,0.00006030944,0.0002934786,0.00002924214,0.00002039799,0.0005147399],"genre_scores_gemma":[0.996843,0.000009563289,0.002794352,0.0001029309,0.00006715302,0.00003954009,0.0000171788,0.00001143302,0.0001148529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2215944,"threshold_uncertainty_score":0.470933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466477968869905,"score_gpt":0.2359936952566274,"score_spread":0.2013289155679284,"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."}}