{"id":"W3201699942","doi":"","title":"Temporal variability of thermal refuges and water temperature patterns in an Atlantic salmon river","year":2013,"lang":"en","type":"article","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Environmental science; Thermal infrared; Thermal; Abundance (ecology); Spatial distribution; Spatial variability; Hydrology (agriculture); Remote sensing; Fishery; Geography; Geology; Infrared; Meteorology; Biology","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":[0.0004075562,0.00008667734,0.000179079,0.0006462255,0.000212169,0.0003476148,0.0001635662,0.0002483759,0.001100629],"category_scores_gemma":[0.0006753043,0.000129625,0.0001158719,0.0006480779,0.0002652849,0.0002625333,0.0003121355,0.0001838626,0.0001984031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002476878,"about_ca_system_score_gemma":0.000154972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008749135,"about_ca_topic_score_gemma":0.01787475,"domain_scores_codex":[0.9998747,0.00002661057,0.00001053563,0.00004345956,0.00002529024,0.00001943608],"domain_scores_gemma":[0.9995232,0.0001082719,0.0001414309,0.0000287956,0.0001258748,0.00007253613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002953628,0.00005227279,0.9784003,0.00001606427,0.0000649955,0.000068864,0.0006068369,0.0002904698,0.01398604,0.00005351189,0.0001986733,0.005966638],"study_design_scores_gemma":[0.000002007111,0.00002617426,0.9990728,0.000002026361,0.000005541869,0.00002463381,0.0001755269,0.0003940981,0.0001463857,0.0000111852,0.0001365061,0.00000314668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999357,0.00003215546,0.0001310983,0.000009445137,0.000001513096,0.000002259322,0.0001389097,0.000005136505,0.0003224622],"genre_scores_gemma":[0.9995946,0.00001253191,0.00007910324,0.00000425101,0.000001852605,0.000005249076,0.0001543632,0.000001844698,0.0001461724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008749135,"threshold_uncertainty_score":0.01739639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193460310593623,"score_gpt":0.2729229632976363,"score_spread":0.2509883601917,"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."}}