{"id":"W4318240431","doi":"10.32920/21968381","title":"Bioconcentration of cedarwood oil constituents in rainbow trout","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Stockholms Universitet","keywords":"Bioconcentration; Rainbow trout; Bioaccumulation; Chemistry; Environmental chemistry; Food science; Chromatography; Fish <Actinopterygii>; Biology; Fishery","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":[0.0002410728,0.0001946904,0.0001836915,0.0003107358,0.000251797,0.0003582259,0.0001262372,0.0002089989,0.0004019368],"category_scores_gemma":[0.0003051784,0.0001051305,0.0002279329,0.0001825397,0.0002832418,0.0001195629,0.0002530775,0.0003238253,0.0001226918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007567003,"about_ca_system_score_gemma":0.000619486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01690944,"about_ca_topic_score_gemma":0.03519395,"domain_scores_codex":[0.9997833,0.00001526161,0.00001243668,0.00007173346,0.0000912632,0.00002594965],"domain_scores_gemma":[0.9998174,0.00002513649,0.0000403928,0.00001808119,0.00006993035,0.00002896906],"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":[0.00009634715,0.00002390133,0.007788145,0.00002234926,0.00001537399,0.00002502378,0.00007003945,0.0002862919,0.9894231,0.00003955693,0.00004065202,0.002169254],"study_design_scores_gemma":[0.00001255877,0.0009177242,0.1008194,0.00001187593,0.00007195029,0.00008423144,0.0001247651,0.001981057,0.8945381,0.00008843135,0.001322443,0.0000274463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972386,0.0001539556,0.001542779,0.00002144092,0.000006568047,0.00001996867,0.000358149,0.00002989969,0.0006286221],"genre_scores_gemma":[0.9933743,0.0002286483,0.003347641,0.00006869807,0.000002771314,0.00002739671,0.0004989055,0.00002276293,0.002428865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01690944,"threshold_uncertainty_score":0.03362203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142260865902301,"score_gpt":0.2495917007179168,"score_spread":0.2281690920588938,"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."}}