{"id":"W2277261422","doi":"10.1890/15-1301.1","title":"Global scombrid life history data set","year":2016,"lang":"en","type":"article","venue":"Ecology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Life history theory; Resource (disambiguation); Sustainability; Ecology; Biology; Marine life; Life history; Fecundity; Environmental resource management; Computer science; Demography; Population; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001203975,0.001101532,0.0009860003,0.009176002,0.0005609513,0.0009101338,0.001287642,0.0007380824,0.01419638],"category_scores_gemma":[0.00594188,0.0004466686,0.0007745794,0.008486535,0.0003396403,0.0007369484,0.001669312,0.000625389,0.009513365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006623843,"about_ca_system_score_gemma":0.001810503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01630948,"about_ca_topic_score_gemma":0.02291092,"domain_scores_codex":[0.9989651,0.00009774176,0.000371009,0.0002313367,0.0002380516,0.000096738],"domain_scores_gemma":[0.9959105,0.0009424051,0.001018354,0.0006386187,0.001172012,0.0003179951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009697983,0.0001502767,0.1821919,0.009222595,0.0006571591,0.001013571,0.0007712722,0.003688519,0.004356566,0.002217676,0.7181905,0.07657016],"study_design_scores_gemma":[0.0001768942,0.0001122549,0.3009422,0.001196268,0.0003055377,0.0006777915,0.0004537174,0.00112827,0.001828323,0.00115782,0.691888,0.0001328836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006350462,0.0002834255,0.0003280927,0.00004510981,0.00002090105,0.00005735373,0.9913741,0.0002758261,0.001264745],"genre_scores_gemma":[0.00673498,0.0001439941,0.0008788221,0.00004961191,0.00001072537,0.0002951433,0.991417,0.00003841005,0.000431346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01630948,"threshold_uncertainty_score":0.04749167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05156485639060159,"score_gpt":0.2759534523048383,"score_spread":0.2243885959142367,"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."}}