{"id":"W7098613227","doi":"","title":"CONTAMINANT ACCUMULATION IN FORAGE FISH","year":2011,"lang":"en","type":"article","venue":"","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Sculpin; Forage fish; Wildlife; Mercury (programming language); Methylmercury; Contamination; Forage; Sea bass","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001453483,0.0001817251,0.0001773377,0.0007328514,0.0004168188,0.0005254396,0.0001284884,0.000199129,0.001495009],"category_scores_gemma":[0.0002962024,0.0001867667,0.0001289334,0.0003917106,0.0001480611,0.0001560003,0.0002955404,0.0002020142,0.0002699652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007898249,"about_ca_system_score_gemma":0.0004558814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02112828,"about_ca_topic_score_gemma":0.03958566,"domain_scores_codex":[0.9998888,0.0000107861,0.000004532927,0.00004451911,0.00003229027,0.00001910612],"domain_scores_gemma":[0.999803,0.00001510015,0.00005891938,0.00001304595,0.00008353617,0.00002648663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006043763,0.00006147956,0.4987865,0.0001509931,0.0000822482,0.0004648679,0.0005266604,0.0003966776,0.4632562,0.000162554,0.0003635603,0.03514398],"study_design_scores_gemma":[0.00001579245,0.0007341589,0.9569301,0.000026344,0.0000440418,0.000491391,0.0003572195,0.0005044357,0.03702982,0.0001138543,0.003740097,0.00001280105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982777,0.000349087,0.0003133693,0.00002481293,0.000002852174,0.000005707774,0.0002088637,0.00001261102,0.0008050584],"genre_scores_gemma":[0.9910226,0.0006961096,0.001711975,0.00007569834,0.000006523958,0.00002313423,0.0007794266,0.00001250232,0.005672034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02112828,"threshold_uncertainty_score":0.04201061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1425151725617032,"score_gpt":0.273250387704114,"score_spread":0.1307352151424108,"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."}}