{"id":"W2043664752","doi":"10.1111/jbi.12527","title":"Phylogeography of the prickly sculpin (<i>Cottus asper</i>) in north‐western North America reveals parallel phenotypic evolution across multiple coastal–inland colonizations","year":2015,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates - Technology Futures","keywords":"Sculpin; Biological dispersal; Biology; Glacial period; Refugium (fishkeeping); Cottus; Ecology; Parallel evolution; Lineage (genetic); Phylogeography; Range (aeronautics); Last Glacial Maximum; Cottidae; Allopatric speciation; Evolutionary biology; Population; Paleontology; Phylogenetics; Fishery; Habitat; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001195408,0.0001090895,0.0001414943,0.0007081837,0.0004857999,0.0002743903,0.000129586,0.0001487322,0.001136158],"category_scores_gemma":[0.0002658668,0.0001123588,0.0001159395,0.0005114258,0.0003006396,0.0001254329,0.0002602634,0.0001727925,0.00009610882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000331946,"about_ca_system_score_gemma":0.0002442542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04076212,"about_ca_topic_score_gemma":0.1196011,"domain_scores_codex":[0.9999294,0.000009295586,0.000003900924,0.00003635192,0.000008071964,0.00001286916],"domain_scores_gemma":[0.9997723,0.00004271894,0.00008431741,0.00001508775,0.0000336302,0.00005209762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000579161,0.00001641232,0.9826154,0.0000147693,0.00004370216,0.0001075524,0.00072902,0.0001568007,0.01337104,0.00004980126,0.00009223036,0.002745407],"study_design_scores_gemma":[7.568631e-7,0.00000473368,0.9995533,0.000002527144,0.000003971678,0.00003741481,0.0001676944,0.0001062748,0.00006236096,0.000005763908,0.00005446752,8.643474e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997981,0.0000172942,0.00002137921,0.000005166738,2.838066e-7,8.719718e-7,0.00003606642,7.961807e-7,0.0001200948],"genre_scores_gemma":[0.9997699,0.0000188744,0.00004908639,0.000006153281,5.756649e-7,0.000001646342,0.00008967998,9.425785e-7,0.00006314856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04076212,"threshold_uncertainty_score":0.08104974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027896558489824,"score_gpt":0.2180581197714711,"score_spread":0.2077791541865728,"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."}}