{"id":"W7133286082","doi":"","title":"Science response : refining candidate critical habitat for White Sturgeon, UCR population","year":2024,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada; BC Hydro","keywords":"Sturgeon; Habitat; Endangered species; Wildlife; Population; Critical habitat; Fish migration; White (mutation); Floodplain; Flood myth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002893758,0.0004802279,0.000397081,0.002046236,0.002283083,0.001597822,0.002585312,0.001193706,0.01633761],"category_scores_gemma":[0.007480471,0.0001950434,0.0005322947,0.001697971,0.0009300892,0.001144876,0.001770488,0.001131131,0.001867297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007386927,"about_ca_system_score_gemma":0.02262877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5353214,"about_ca_topic_score_gemma":0.8014395,"domain_scores_codex":[0.9989381,0.0002499038,0.00003982211,0.0001886051,0.0003339152,0.000249631],"domain_scores_gemma":[0.9954074,0.0004405299,0.0002770957,0.0001476066,0.003000831,0.00072648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002791832,0.0001391193,0.2524321,0.001942129,0.0001055689,0.0007170764,0.002798195,0.002392082,0.003386659,0.005457253,0.4408994,0.2894513],"study_design_scores_gemma":[0.0001113666,0.0003379153,0.4786959,0.002235503,0.000391758,0.0005304851,0.02549747,0.009675561,0.002726109,0.01079956,0.4688303,0.0001682535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4258701,0.01648779,0.03075028,0.1689093,0.006145233,0.004676201,0.08782858,0.002033082,0.2572994],"genre_scores_gemma":[0.7810464,0.008476956,0.06655792,0.03585349,0.0009427103,0.00291164,0.04810958,0.000382564,0.05571872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5353214,"threshold_uncertainty_score":0.9348304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142258803078061,"score_gpt":0.2786317578462231,"score_spread":0.2672091698154425,"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."}}