{"id":"W7100974129","doi":"","title":"Indicator: Hexachlorobenzene Levels in Herring Gull Eggs from the Great Lakes","year":2015,"lang":"en","type":"article","venue":"","topic":"Family and Matrimonial Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hexachlorobenzene; Herring gull; Herring; Pollution; Water quality; Pollutant; Agriculture","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":[0.0001274304,0.0003619153,0.0001408654,0.0006709622,0.0004244808,0.0003205231,0.0001521274,0.0002080423,0.002172383],"category_scores_gemma":[0.0002537475,0.0001108873,0.0001189217,0.0004354132,0.0002215038,0.0001239646,0.0002782251,0.0001609087,0.0005036758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008131113,"about_ca_system_score_gemma":0.000308628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04611922,"about_ca_topic_score_gemma":0.1132872,"domain_scores_codex":[0.9998025,0.00001458936,0.00001874013,0.00004201494,0.00009124773,0.00003082404],"domain_scores_gemma":[0.9996946,0.00001689296,0.0001316233,0.000008309573,0.0001069174,0.00004174355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004565688,0.0000890142,0.7936153,0.0001548908,0.00007258078,0.0004884146,0.0006170549,0.00007188057,0.1931972,0.00004405119,0.0009431247,0.0102499],"study_design_scores_gemma":[0.000003472133,0.0003078687,0.9861224,0.000006646635,0.00002341835,0.0001811179,0.0003029128,0.000033238,0.01184512,0.000004841109,0.001164831,0.00000414914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959423,0.0002243769,0.0001216638,0.00003421629,0.000006018415,0.00002215833,0.001288996,0.00003527295,0.0023249],"genre_scores_gemma":[0.9926858,0.0002081069,0.0006004906,0.00009064955,0.000003942818,0.00003388405,0.002475758,0.00001095272,0.003890367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9538808,"threshold_uncertainty_score":0.09170157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07689639192476656,"score_gpt":0.3265664316251759,"score_spread":0.2496700397004094,"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."}}