{"id":"W2051782207","doi":"10.1002/rra.1386","title":"Spatial variability of thermal regimes and other environmental determinants of stream fish communities in the Great Lakes Basin, Ontario, Canada","year":2010,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"","keywords":"Environmental science; STREAMS; Biota; Spatial variability; Hydrology (agriculture); Structural basin; Groundwater; Environment variable; Streamflow; Freshwater ecosystem; Spatial distribution; Drainage basin; Ecology; Ecosystem; Physical geography; Geography; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000233563,0.0001399612,0.0001838782,0.0007527848,0.001159859,0.0006666314,0.000338795,0.0001491441,0.000857544],"category_scores_gemma":[0.0007590805,0.0001881415,0.00021662,0.001667418,0.0008166723,0.0001910223,0.0004307845,0.0001591812,0.0000804717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007840688,"about_ca_system_score_gemma":0.006228622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9724255,"about_ca_topic_score_gemma":0.9921003,"domain_scores_codex":[0.9997427,0.00003078142,0.00001337415,0.00006554958,0.00007958724,0.00006798562],"domain_scores_gemma":[0.9991732,0.0000964635,0.0001658895,0.00002945831,0.0003759263,0.0001590188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003863036,0.000009962645,0.9927295,0.00002035174,0.00003669387,0.00006147476,0.001827726,0.0002226166,0.002009377,0.00006419158,0.0002726198,0.002706829],"study_design_scores_gemma":[0.000001099791,0.000003146135,0.9988921,0.00000296605,0.000002968696,0.000008519058,0.0007499131,0.0001188258,0.00003349477,0.000009639245,0.0001755399,0.000001878204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989736,0.00004640238,0.0000679069,0.00003103843,8.391759e-7,0.000006782596,0.0004004254,0.000003056928,0.000469965],"genre_scores_gemma":[0.999157,0.00004934213,0.0001329624,0.000009910367,7.851248e-7,0.000007187447,0.000247197,0.000001658611,0.0003939272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02757454,"threshold_uncertainty_score":0.05688846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867146067654012,"score_gpt":0.2546860759886753,"score_spread":0.2360146153121351,"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."}}