{"id":"W3216067921","doi":"10.1111/fwb.13850","title":"Climate and conspecific density inform phenotypic forecasting of juvenile Pacific salmon body size","year":2021,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Alaska Sea Grant, University of Alaska Fairbanks; National Oceanic and Atmospheric Administration","keywords":"Oncorhynchus; Biology; Density dependence; Phenotypic plasticity; Ecology; Life history theory; Abiotic component; Juvenile; Population; Smoltification; Competition (biology); Climate change; Fish migration; Watershed; Habitat; Fishery; Salmonidae; Life history; Salmo; Demography; Fish <Actinopterygii>","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":[0.000426231,0.0001875453,0.0001609468,0.0004958187,0.0001601045,0.0004764427,0.0002914106,0.0002353936,0.001380663],"category_scores_gemma":[0.001533802,0.0001876632,0.0002474741,0.0003531587,0.0001212883,0.0004143616,0.0002695025,0.0001884482,0.0002552752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002829627,"about_ca_system_score_gemma":0.0002199068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021373,"about_ca_topic_score_gemma":0.03540177,"domain_scores_codex":[0.9999137,0.00002252363,0.000005803622,0.00003746977,0.00001007575,0.00001036875],"domain_scores_gemma":[0.9993466,0.0001987792,0.0001833685,0.00006210789,0.0001510866,0.00005819559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003025041,0.0000125225,0.9826875,0.000009763292,0.00004704484,0.00001788484,0.0000322201,0.01004622,0.001705984,0.00004786113,0.0002079272,0.005154772],"study_design_scores_gemma":[0.00000234369,0.00001526818,0.9321499,0.000005496005,0.00001348261,0.00002112814,0.00007529552,0.06714185,0.0003073536,0.00007837706,0.000182927,0.000006562193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965596,0.00004446416,0.001928755,0.00003325092,0.000003275814,0.000004071819,0.0008168833,0.00005356117,0.0005561374],"genre_scores_gemma":[0.9988745,0.0000150804,0.0005010439,0.000004619448,0.000002044167,0.000002770595,0.0005054644,0.000004609586,0.00008993963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02021373,"threshold_uncertainty_score":0.04019213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384456733927718,"score_gpt":0.2112371579534239,"score_spread":0.1973925906141467,"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."}}