{"id":"W2922243178","doi":"10.1016/j.aquaculture.2019.03.008","title":"Inter-population differences in farmed Chinook salmon product quantity and quality","year":2019,"lang":"en","type":"article","venue":"Aquaculture","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Yellow Island Aquaculture (Canada); University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Chinook wind; Fishery; Salmo; Outbreeding depression; Aquaculture; Oncorhynchus; Population; Flesh; Salmonidae; Fish farming; Inbreeding; Fish <Actinopterygii>; Demography","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":[0.0006914713,0.000139704,0.0001905334,0.000647318,0.000340453,0.0004566355,0.0002934316,0.0002866356,0.002305671],"category_scores_gemma":[0.0009718098,0.0001936041,0.0002858134,0.0006218573,0.0005125238,0.0003619069,0.0005051962,0.0003431675,0.0002742012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005530213,"about_ca_system_score_gemma":0.0003366223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01300826,"about_ca_topic_score_gemma":0.03722057,"domain_scores_codex":[0.9994728,0.0001251577,0.00003619004,0.0002141611,0.00007780397,0.00007385465],"domain_scores_gemma":[0.9990395,0.0002844565,0.0001771825,0.0001227935,0.0002267453,0.0001492749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000942428,0.0001207785,0.9449174,0.00002009159,0.0003845984,0.0001585868,0.001590839,0.0001753027,0.04509475,0.0002041646,0.0002131877,0.006177903],"study_design_scores_gemma":[0.000002299639,0.00005407319,0.9993425,6.995207e-7,0.00001452297,0.00002234929,0.0002079174,0.00007442526,0.0001906759,0.00001605812,0.00007226971,0.000002191332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994364,0.00002791673,0.00007770467,0.0000092514,0.000002492159,0.000002137191,0.0001224709,0.000002243477,0.0003193039],"genre_scores_gemma":[0.9985889,0.00001716749,0.00006810186,0.00001699242,0.000001862429,0.00000824117,0.0002545246,0.000004271448,0.001039951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01300826,"threshold_uncertainty_score":0.02586508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978869351165535,"score_gpt":0.254165174352474,"score_spread":0.2243764808408187,"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."}}