{"id":"W6889708487","doi":"10.25923/4emd-mt47","title":"Using radio-archival tags to determine the swimming depth, movements, thermal conditions, and exposure to elevated temperatures for Yukon River Chinook salmon stocks","year":2023,"lang":"en","type":"article","venue":"National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Chinook wind; Ectotherm; Oncorhynchus; Hydrology (agriculture); Thermal stratification","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":[0.0002713408,0.0002670328,0.0001295457,0.0005859123,0.0004491786,0.0003933444,0.0002595714,0.0002430789,0.0007910199],"category_scores_gemma":[0.0005561271,0.0001696966,0.0002541654,0.0009292667,0.0002218824,0.0002940536,0.0003235003,0.0002061909,0.0002582053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007039,"about_ca_system_score_gemma":0.0008027572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.161201,"about_ca_topic_score_gemma":0.4246968,"domain_scores_codex":[0.9998651,0.0000187787,0.00001359168,0.00004576911,0.00002592316,0.00003097499],"domain_scores_gemma":[0.9996481,0.0000364413,0.0001014876,0.00003170341,0.0001426837,0.00003962031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006342437,0.00002915144,0.9882257,0.000008798882,0.00003936595,0.00002638299,0.0003009037,0.00008997046,0.003792234,0.00001494267,0.0001253949,0.007283828],"study_design_scores_gemma":[0.000003259616,0.00006063388,0.9984034,0.000002484107,0.00002306168,0.00002433799,0.0006551499,0.0002149078,0.0003977413,0.00001418472,0.0001964459,0.000004287165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986376,0.0000315137,0.0003712951,0.00001564029,0.000003501709,0.0000163239,0.0004530399,0.000005598102,0.0004656213],"genre_scores_gemma":[0.9959694,0.00006437872,0.001286705,0.00004157646,0.000002871247,0.00004440389,0.001087966,0.000003152329,0.001499534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8387989,"threshold_uncertainty_score":0.3205255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580790852765987,"score_gpt":0.2483196741097309,"score_spread":0.232511765582071,"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."}}