{"id":"W2597364892","doi":"10.1111/risa.12769","title":"Fish for Dinner? Balancing Risks, Benefits, and Values in Formulating Food Consumption Advice","year":2017,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Centre of Excellence for Women's Health; BC Centre for Disease Control","funders":"Health Canada","keywords":"Advice (programming); Fish <Actinopterygii>; Unintended consequences; Business; Environmental health; Consumption (sociology); Welfare; Risk analysis (engineering); Public economics; Marketing; Fishery; Medicine; Economics; Computer science; Political science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004640385,0.0001350814,0.0002291986,0.00004848601,0.0006788626,0.0001011992,0.0001607289,0.00007565026,0.0001273536],"category_scores_gemma":[0.0002250289,0.0001095329,0.0001290983,0.0001278789,0.0001232957,0.0004956178,0.0001754815,0.0001002561,0.000009780551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000211309,"about_ca_system_score_gemma":0.000001542399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004131344,"about_ca_topic_score_gemma":0.01262082,"domain_scores_codex":[0.9989889,0.00004181147,0.0002079302,0.0003364816,0.0001532048,0.0002716335],"domain_scores_gemma":[0.9992779,0.00009984203,0.000219295,0.0003116152,0.000004359509,0.00008700957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001268194,0.00003097848,0.9520456,0.0000103602,0.00008419846,4.639007e-7,0.0004537294,0.02806739,0.00004853581,0.00001101551,0.00004453242,0.01919057],"study_design_scores_gemma":[0.0003238029,0.00004836228,0.9635517,0.000008061963,0.0004117785,6.441831e-7,0.0004048461,0.03428269,0.0000976239,0.0005656226,0.0001529021,0.0001519684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986205,0.0001043886,0.0006029196,0.0001461397,0.00001434002,0.0002093628,0.00006006773,0.000019654,0.0002226714],"genre_scores_gemma":[0.998109,0.0003285181,0.001393145,0.00003863689,0.00002253448,0.00002114268,0.00002564647,0.000006520742,0.0000548717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0190386,"threshold_uncertainty_score":0.7042716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992525605853156,"score_gpt":0.2746758490354155,"score_spread":0.254750592976884,"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."}}