{"id":"W1997171161","doi":"10.1007/s10750-010-0201-3","title":"Brook charr mortalities during extreme temperature events in Sutton River, Hudson Bay Lowlands, Canada","year":2010,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Laurentian University","funders":"","keywords":"Fish migration; Salvelinus; Bay; Arctic; Latitude; Fontinalis; Geography; Global warming; Climate change; Population; Ecology; Environmental science; Fishery; Oceanography; Fish <Actinopterygii>; Biology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001411487,0.0001648753,0.0001720804,0.00002989883,0.000182049,0.000005040467,0.0002360807,0.0001276934,0.001616998],"category_scores_gemma":[0.00003328891,0.0001388754,0.00002726152,0.000102716,0.0001625174,0.0001104429,0.000271884,0.0002951429,0.00009322252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241031,"about_ca_system_score_gemma":0.00001457978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08718938,"about_ca_topic_score_gemma":0.9034622,"domain_scores_codex":[0.9989972,0.00003923916,0.0001645511,0.000327275,0.00009546566,0.0003763349],"domain_scores_gemma":[0.9996719,0.00002776674,0.00005228373,0.0002013696,0.000003400251,0.00004321416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001040643,0.00003080397,0.9797831,0.0000102028,0.00001306253,0.00002804283,0.0001284552,0.00008150632,0.01250889,0.00002664187,0.007358222,0.00002064683],"study_design_scores_gemma":[0.0003291233,0.0000195482,0.9939047,0.000008078569,0.000005786055,0.000003989403,0.00009906607,0.00003056585,0.001490569,0.00008934971,0.003836247,0.0001829662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936698,0.00002785163,3.854731e-7,0.0002635649,0.0005564018,0.0001970474,0.00001498167,0.00003582582,0.005234123],"genre_scores_gemma":[0.9931552,0.00004917984,0.00004201757,0.0003980427,0.00003685203,0.00003339175,0.00002787384,0.000007650035,0.006249739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8162728,"threshold_uncertainty_score":0.9992957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005282827478232189,"score_gpt":0.1737364190901827,"score_spread":0.1684535916119505,"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."}}