{"id":"W2004314912","doi":"10.1016/j.fct.2007.01.010","title":"Risk and benefits from consuming salmon and trout: A Canadian perspective","year":2007,"lang":"en","type":"article","venue":"Food and Chemical Toxicology","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de Santé Publique du Québec; Université Laval; Centre hospitalier universitaire de Québec","funders":"Ministère de la Santé et des Services sociaux","keywords":"Trout; Fishery; Brown trout; Nutrient; Mercury (programming language); Fish farming; Aquaculture; Fish <Actinopterygii>; Toxicology; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001599623,0.0008519369,0.0007447635,0.002496103,0.00469026,0.003041539,0.001306408,0.003099161,0.007497633],"category_scores_gemma":[0.003313764,0.0003699037,0.001180699,0.0028172,0.004619786,0.001278743,0.00145428,0.003579728,0.0002547411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05143065,"about_ca_system_score_gemma":0.05378416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916341,"about_ca_topic_score_gemma":0.9967077,"domain_scores_codex":[0.9986557,0.0001551083,0.0000443135,0.0001252018,0.0006507547,0.0003690181],"domain_scores_gemma":[0.997604,0.0003307214,0.0002248193,0.00003138585,0.001193135,0.0006160074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003745972,0.0006470638,0.4339735,0.001724502,0.001607014,0.005964381,0.01151423,0.01067804,0.005671968,0.1362156,0.1054963,0.2827615],"study_design_scores_gemma":[0.0003165129,0.0007667582,0.6462356,0.002664254,0.002494405,0.002932436,0.02798053,0.004359898,0.001421052,0.05121554,0.2589629,0.0006500743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2950175,0.09960799,0.002846763,0.3695154,0.001038543,0.0001169159,0.004413034,0.00009065193,0.2273533],"genre_scores_gemma":[0.8699656,0.08066077,0.002258994,0.02234782,0.0005915711,0.00003707257,0.0005750419,0.0000271566,0.02353598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05143065,"threshold_uncertainty_score":0.3731573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378966466768329,"score_gpt":0.2112647143176742,"score_spread":0.1974750496499909,"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."}}