{"id":"W2058447661","doi":"10.1071/mf13289","title":"Genotypic and morphological variation between Galaxiella nigrostriata (Galaxiidae) populations: implications for conservation","year":2014,"lang":"en","type":"article","venue":"Marine and Freshwater Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Threatened species; IUCN Red List; Biology; Biological dispersal; Ecology; Range (aeronautics); Conservation status; Phylogeography; Pleistocene; Wetland; Habitat; Geography; Population","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":[0.000302948,0.0001374747,0.0001612242,0.0005121744,0.000243027,0.0002317383,0.0002119425,0.0001600437,0.0005859855],"category_scores_gemma":[0.0006382695,0.0000616298,0.0001150979,0.0003413945,0.0003622876,0.0002640437,0.0002956004,0.0001246418,0.00005714627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002704,"about_ca_system_score_gemma":0.0001201779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004461051,"about_ca_topic_score_gemma":0.01230139,"domain_scores_codex":[0.9998876,0.00002932537,0.00001120481,0.00003864376,0.0000185361,0.00001468791],"domain_scores_gemma":[0.9997661,0.00004910727,0.0001134282,0.00001418134,0.00002353051,0.00003369543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008235629,0.00004303397,0.9616241,0.00002379095,0.00006533834,0.0002088738,0.001130878,0.0001475989,0.01343812,0.00013834,0.00009504714,0.02300257],"study_design_scores_gemma":[8.062651e-7,0.00002368418,0.9995366,0.000002359151,0.000004170116,0.00005158891,0.0001865675,0.00005115401,0.00004202188,0.00002092902,0.00007890795,0.00000125118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996846,0.0000564917,0.00005316671,0.00001620009,6.500363e-7,8.524999e-7,0.00001841717,0.00000192604,0.0001678068],"genre_scores_gemma":[0.9996779,0.00003301732,0.0001581775,0.000008493977,0.000002089335,0.000002936336,0.00004784518,7.537224e-7,0.00006881603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004461051,"threshold_uncertainty_score":0.008870184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027249624167741,"score_gpt":0.3310159707648645,"score_spread":0.2282910083480904,"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."}}