{"id":"W4213087028","doi":"10.1139/cjfas-2020-0424","title":"Temperature exposure in cod driven by changes in abundance","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitetet i Bergen","keywords":"Gadus; Otolith; Abundance (ecology); Environmental science; Atlantic cod; Arctic; Fishery; Population; Population density; Oceanography; Ecology; Biology; Fish <Actinopterygii>; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002732396,0.0001149055,0.0001465998,0.0002940317,0.0001600379,0.0003424525,0.0001407748,0.0001710107,0.0006880623],"category_scores_gemma":[0.000821207,0.0001776686,0.0002190486,0.0001876616,0.0002514945,0.0001751006,0.0002254555,0.0001815074,0.0001061226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004067919,"about_ca_system_score_gemma":0.0002003165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01463916,"about_ca_topic_score_gemma":0.03113771,"domain_scores_codex":[0.9998989,0.00001718011,0.000006623486,0.0000487334,0.000008582929,0.00001989593],"domain_scores_gemma":[0.9996701,0.00008506887,0.000119017,0.00003415423,0.00004678375,0.00004476227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009202203,0.000008127545,0.988565,0.000006159621,0.00002783285,0.00003599633,0.00008748782,0.001047286,0.008370812,0.00006778799,0.00004218049,0.00164926],"study_design_scores_gemma":[0.000001471975,0.00001058311,0.9973545,0.000001558974,0.000008029416,0.00002881118,0.00005893045,0.002093136,0.0003685929,0.0000329782,0.00003897246,0.000002445811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996341,0.00001435506,0.0001302327,0.000005845381,9.880264e-7,6.007331e-7,0.00005706758,0.000001976533,0.0001548065],"genre_scores_gemma":[0.9997705,0.000008431601,0.00006925364,0.000003854147,8.36539e-7,0.000001471913,0.00006825725,0.000001522574,0.00007594487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01463916,"threshold_uncertainty_score":0.02910793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300476644206283,"score_gpt":0.2155034536041321,"score_spread":0.2024986871620693,"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."}}