{"id":"W2777361459","doi":"10.26428/1606-9919-2017-191-3-33","title":"Evaluation of contributions of stock abundance and global temperature anomaly to mean body weight of pacific salmons in the North Pacific basin","year":2017,"lang":"en","type":"article","venue":"Izvestiya TINRO","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oncorhynchus; Anomaly (physics); Sea surface temperature; Stock (firearms); Chinook wind; Pacific decadal oscillation; Structural basin; Geology; Environmental science; Oceanography; Climatology; Fishery; Geography; Biology; Physics; Fish <Actinopterygii>","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009818032,0.0000980883,0.0002229037,0.000009195896,0.0001659727,0.00002228344,0.0003119726,0.0001264217,0.0000378712],"category_scores_gemma":[0.0005397165,0.000036815,0.00004148372,0.0002067885,0.0002816291,0.00007343788,0.00004665433,0.0001095481,0.000001546138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000165589,"about_ca_system_score_gemma":0.00003630119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004731747,"about_ca_topic_score_gemma":0.002254093,"domain_scores_codex":[0.9988416,0.0002808965,0.0002747489,0.0001866884,0.0002616133,0.0001544644],"domain_scores_gemma":[0.9991455,0.0001580516,0.0002438672,0.0001544473,0.0002515382,0.00004661433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000913699,0.0002979711,0.714429,0.00001830208,0.00003767013,0.000002088218,0.000471338,0.00001138296,0.2599536,0.00242116,0.001017165,0.021249],"study_design_scores_gemma":[0.0002201981,0.0004544252,0.9926894,0.0000494035,0.00003601665,0.000005594839,0.0004992165,0.00007592909,0.00428612,0.0007286933,0.0008787255,0.00007625376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944963,0.0001927088,7.731542e-7,0.003019913,0.00006496286,0.0003431702,0.000520866,0.000004120025,0.001357117],"genre_scores_gemma":[0.9997781,0.00001243317,0.00005142871,0.00002341497,0.00006163212,0.00001334387,0.00003385885,3.991861e-7,0.00002536774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2782604,"threshold_uncertainty_score":0.1501272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479663103359649,"score_gpt":0.2825945839690636,"score_spread":0.2477979529354671,"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."}}