{"id":"W4390752062","doi":"10.1111/faf.12811","title":"Metabolism, population growth, and the fast‐slow life history continuum of marine fishes","year":2024,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific; Pacific Salmon Commission; Fisheries and Oceans Canada; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Science Foundation","keywords":"Biology; Life history theory; Life history; Population; Ecology; Metabolic rate; Zoology; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006548607,0.0001556745,0.0001605651,0.0006790237,0.0003294996,0.0005103226,0.0001955766,0.0002023057,0.001612631],"category_scores_gemma":[0.001463446,0.0001769642,0.0002734387,0.0004512508,0.0004710314,0.0004806267,0.0005988083,0.0002961067,0.0001629288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756082,"about_ca_system_score_gemma":0.0001918827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003316651,"about_ca_topic_score_gemma":0.004245851,"domain_scores_codex":[0.9998571,0.00003913659,0.00001301939,0.00004766837,0.00002329583,0.00001982277],"domain_scores_gemma":[0.9988768,0.0002885734,0.0004863084,0.00008730096,0.0001223903,0.00013863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007052733,0.00001346657,0.992554,0.00001760606,0.00006087117,0.00003557607,0.0002104226,0.0004991128,0.003731312,0.0001436893,0.00005322073,0.002610186],"study_design_scores_gemma":[6.792151e-7,0.00001666318,0.9993495,0.000001834584,0.000004468171,0.00001911203,0.00009690969,0.0003242765,0.00005607114,0.00009629979,0.00003186986,0.000002236918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994096,0.00005766282,0.0001857238,0.00002021426,0.000001445045,0.000001476537,0.00007753079,0.00000285175,0.000243486],"genre_scores_gemma":[0.9996569,0.00002189463,0.0001386957,0.000009540751,0.000002242934,0.000003128547,0.00008556439,0.000001737351,0.00008016726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003316651,"threshold_uncertainty_score":0.006594658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006751801708063703,"score_gpt":0.167536426925649,"score_spread":0.1607846252175853,"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."}}