{"id":"W3174375321","doi":"10.3390/w13131736","title":"The Importance of Including Water Temperature Simulations in a 2D Fish Habitat Model for the St. Lawrence River","year":2021,"lang":"en","type":"article","venue":"Water","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Environment and Climate Change Canada; Institut National de la Recherche Scientifique","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Habitat; Environmental science; Fish habitat; Fishery; Fish <Actinopterygii>; Carp; Ecology; Hydrology (agriculture); Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003046104,0.0004505002,0.000387223,0.0003186794,0.0005835582,0.0008697784,0.0008834675,0.0008926972,0.001263862],"category_scores_gemma":[0.001160761,0.0005012402,0.0005541182,0.0003264404,0.0003762941,0.0006175084,0.0004846389,0.0005287825,0.0001330408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268081,"about_ca_system_score_gemma":0.001893219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1703301,"about_ca_topic_score_gemma":0.1323969,"domain_scores_codex":[0.999899,0.00003494831,0.000007539542,0.00002482194,0.00001322055,0.00002044295],"domain_scores_gemma":[0.9996138,0.0001848356,0.00006013194,0.0000212699,0.00007500867,0.0000449803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001840049,0.0000184474,0.004364395,0.000005282053,0.00001168157,0.00002609765,0.00001300333,0.9943739,0.0002748913,0.0001798346,0.00006126246,0.0006527581],"study_design_scores_gemma":[0.000006578122,0.00001058813,0.0007365297,0.000001394698,0.000004582824,0.000003921823,0.00001003322,0.9990274,0.00005867161,0.00005984553,0.00007640867,0.000004099942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725699,0.00006777559,0.02288297,0.0002414465,0.00002613021,0.00004754413,0.0005217502,0.0001644691,0.003478028],"genre_scores_gemma":[0.9940436,0.00005074938,0.004461089,0.00002748989,0.000006019488,0.0000577398,0.000173711,0.00001669004,0.001162893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8296698,"threshold_uncertainty_score":0.3386774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936582111963957,"score_gpt":0.2432002289286459,"score_spread":0.2238344078090063,"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."}}