{"id":"W2800295709","doi":"10.1002/mcf2.10020","title":"Assessing Indices of Growth for Field Studies of Juvenile Salmon: An Experiment and Synthesis","year":2018,"lang":"en","type":"article","venue":"Marine and Coastal Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Pacific Salmon Foundation; Canada Foundation for Innovation","keywords":"Juvenile; Oncorhynchus; Growth rate; Chinook wind; Biology; Insulin-like growth factor; Fish <Actinopterygii>; Fishery; Growth factor; Animal science; Zoology; Ecology; Mathematics; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001194643,0.00007431182,0.0001857066,0.00001696459,0.0001447159,0.00001335391,0.00004986912,0.00002513272,0.0001821155],"category_scores_gemma":[0.00009119669,0.00006210812,0.00001424016,0.00003918559,0.0005886472,0.0002841489,0.0005021471,0.00001812947,3.295199e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003895741,"about_ca_system_score_gemma":0.000001963444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003877053,"about_ca_topic_score_gemma":0.003793234,"domain_scores_codex":[0.9995574,0.00001588073,0.0001344347,0.0001399995,0.00005756435,0.00009466999],"domain_scores_gemma":[0.9996876,0.0001432125,0.00007413935,0.00006326636,0.00001421629,0.00001760066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009406692,0.00009954726,0.965474,0.0001649297,0.0000917812,0.000001069167,0.002515403,1.890774e-7,0.0008598435,0.0002603988,0.005009206,0.02542956],"study_design_scores_gemma":[0.000472698,0.002048217,0.9016496,0.00003887981,0.0001075246,0.000002330454,0.02235043,0.00005484211,0.06381439,0.004486306,0.004748239,0.0002265245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986335,0.00003858261,0.00005320095,0.0004617036,0.0000450987,0.0001002022,0.000003452074,0.000008394549,0.01295437],"genre_scores_gemma":[0.9978119,0.0001267608,0.001633267,0.0001259751,0.00001576301,0.00003609497,0.000001169161,0.000003822159,0.0002452384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06382439,"threshold_uncertainty_score":0.2532696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670802639091543,"score_gpt":0.2807971840822768,"score_spread":0.2540891576913614,"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."}}