{"id":"W3118341506","doi":"10.1201/b18806-7","title":"Distribution of Yellow Perch Perca fl avescens in Lakes, Reservoirs and Rivers of Alberta and British Columbia, in Relation to Tolerance for Climate and other Habitat Factors, and their Dispersal and Invasive Ability","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perch; Biological dispersal; Habitat; Geography; Distribution (mathematics); Fishery; Ecology; Environmental science; Biology; Fish <Actinopterygii>; Population; Demography","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0002295752,0.0002008294,0.0001482637,0.002224258,0.001045018,0.0008934278,0.000382585,0.0001552317,0.001028278],"category_scores_gemma":[0.0004481359,0.0001444928,0.0001544678,0.003864727,0.0006296821,0.0001902892,0.0003253189,0.0001668421,0.0001414576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006033685,"about_ca_system_score_gemma":0.004216663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.973417,"about_ca_topic_score_gemma":0.994963,"domain_scores_codex":[0.9998485,0.000007613807,0.000009331301,0.00002874586,0.00005874201,0.00004712857],"domain_scores_gemma":[0.9994795,0.00004443486,0.00009656514,0.000009553478,0.0002446251,0.0001255056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006542689,0.0000188885,0.9731609,0.0001399574,0.0000379742,0.0003502746,0.003312999,0.0002297369,0.001681307,0.0001716096,0.001218095,0.01961279],"study_design_scores_gemma":[7.648707e-7,0.000004516055,0.9980327,0.0000160196,0.000007026105,0.00005103201,0.001078745,0.00003791194,0.00003233664,0.000007667686,0.0007280471,0.000003288004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921589,0.003141232,0.0000663321,0.000079225,0.00000762226,0.00001018806,0.001529017,0.000008829523,0.002998737],"genre_scores_gemma":[0.9892102,0.004395837,0.0002789744,0.00004312654,0.000005806972,0.000008681258,0.001396161,0.000005229468,0.004656082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02658302,"threshold_uncertainty_score":0.05347908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481321209964587,"score_gpt":0.2101255699314251,"score_spread":0.1953123578317792,"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."}}