{"id":"W2905707118","doi":"10.1111/faf.12345","title":"Evidence for spatial coherence in time trends of marine life history traits of Atlantic salmon in the North Atlantic","year":2018,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Seventh Framework Programme","keywords":"Salmo; Fishery; Geography; Life history theory; Marine life; Population; Life history; Biology; Marine fish; Ecology; Fish <Actinopterygii>; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003168155,0.0001062421,0.000228759,0.00005933859,0.00003143264,0.00001389746,0.0003328165,0.00005395249,0.004881779],"category_scores_gemma":[0.0002321899,0.00008148285,0.00003533101,0.0002576408,0.0006678774,0.0001965949,0.000191672,0.0001007693,0.000004132281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004252051,"about_ca_system_score_gemma":0.00002829918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01255408,"about_ca_topic_score_gemma":0.05140629,"domain_scores_codex":[0.9989308,0.00006715337,0.0002890007,0.0002137854,0.0002711246,0.0002281074],"domain_scores_gemma":[0.9994708,0.0002109292,0.0000856993,0.00016893,0.0000159443,0.00004765571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002711631,0.00006215083,0.9719086,0.0000615208,0.000004373425,0.000003207811,0.001123793,5.677085e-7,0.0001145009,0.000006083115,0.009543553,0.01690049],"study_design_scores_gemma":[0.0003290729,0.0004814352,0.9791642,0.00002400547,0.000006275845,0.00000238454,0.0000583331,0.0003823954,0.00002341991,0.00003595784,0.01940145,0.00009105208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758333,0.00001366188,0.000009422954,0.0005038045,0.00002811073,0.0002014233,0.000008666412,0.000005091319,0.02339651],"genre_scores_gemma":[0.9986266,0.0000679799,0.0001081338,0.0001791958,0.00004185444,0.00003354916,0.00001672215,0.000007110183,0.0009188227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03885221,"threshold_uncertainty_score":0.9960279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04021923617210565,"score_gpt":0.2444895929533976,"score_spread":0.2042703567812919,"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."}}