{"id":"W4205454366","doi":"10.1093/icesjms/fsab269","title":"Using gene expression to identify the most suitable environmental conditions for growth and metabolism of juvenile deepwater redfish (<i>Sebastes mentella</i>) in the Estuary and the Gulf of St. Lawrence","year":2021,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Fisheries and Oceans Canada; Fonds de recherche du Québec","keywords":"Sebastes; Estuary; Biology; Fishery; Fish <Actinopterygii>","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":[0.00009792827,0.0001952392,0.0001517745,0.0002727224,0.0001989476,0.0004028835,0.0001105125,0.0001675674,0.0004166671],"category_scores_gemma":[0.0001265804,0.0001357258,0.0001886285,0.0002725594,0.0002188789,0.0001453229,0.0001830945,0.000191231,0.00009972775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005248894,"about_ca_system_score_gemma":0.0002825802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01725903,"about_ca_topic_score_gemma":0.0460117,"domain_scores_codex":[0.9999261,0.0000059842,0.000003241221,0.00004049169,0.00001034828,0.00001384229],"domain_scores_gemma":[0.9998982,0.00001544165,0.00004641358,0.000004413806,0.00002253377,0.00001306836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003141507,0.0000446788,0.4109043,0.00006321286,0.00007395662,0.00005856228,0.0003273361,0.0004140537,0.5818896,0.00005514112,0.0001007861,0.005754123],"study_design_scores_gemma":[0.000003401406,0.00007144867,0.9910334,0.000002881656,0.00001730861,0.00002098981,0.0002156647,0.0005009643,0.007910276,0.00001135341,0.0002092019,0.000003189431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994048,0.00005290201,0.0001753093,0.000007645951,0.000001139394,0.000002549634,0.000196135,0.000003928628,0.0001554687],"genre_scores_gemma":[0.9984853,0.00005433372,0.0004918202,0.00002368547,0.000001349267,0.00001382417,0.0003950426,0.00000265363,0.0005320817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.982741,"threshold_uncertainty_score":0.03431714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944878650102398,"score_gpt":0.2624841252317866,"score_spread":0.2430353387307626,"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."}}