{"id":"W4360992733","doi":"10.1016/j.jglr.2023.03.008","title":"Systematic changes and random variations: Understanding lake trout (Salvelinus namaycush) growth dynamics in US waters of Lake Huron","year":2023,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Salvelinus; Trout; Cohort; Growth model; Fishery; Fish <Actinopterygii>; Ecology; Biology; Environmental science; Geography; Demography; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007848454,0.0001976634,0.0002321309,0.001112527,0.0004788116,0.0005809225,0.000390063,0.0003438398,0.0004878441],"category_scores_gemma":[0.003272029,0.0002912623,0.0003661053,0.0008739079,0.0006572984,0.0009213537,0.0007714847,0.0002297039,0.00007298576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009413796,"about_ca_system_score_gemma":0.0007521728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09102545,"about_ca_topic_score_gemma":0.2204935,"domain_scores_codex":[0.9996957,0.0001052826,0.00003002002,0.0000858823,0.00004208496,0.00004111139],"domain_scores_gemma":[0.9989398,0.0004216361,0.0002959269,0.00009862552,0.0001405314,0.0001034693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005257688,0.00002229345,0.9921388,0.00001170075,0.00008215664,0.0000319019,0.0004798008,0.001436598,0.001232156,0.00006806069,0.0001071411,0.004336812],"study_design_scores_gemma":[0.000001512948,0.00001092775,0.9948642,0.000002367528,0.00001265722,0.00000962075,0.0004454461,0.004447455,0.00004581791,0.00008174885,0.00007519825,0.00000309042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992895,0.00005956391,0.0002729417,0.00004497797,0.000001999004,0.000004022399,0.0001048843,0.000006049259,0.000216032],"genre_scores_gemma":[0.9995364,0.00002863708,0.0001840633,0.00001586059,0.000003677493,0.000005466849,0.0001308092,0.000003622523,0.00009139411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09102545,"threshold_uncertainty_score":0.1809912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05086967472752813,"score_gpt":0.300503968069489,"score_spread":0.2496342933419609,"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."}}