{"id":"W2064600322","doi":"10.1016/s0025-326x(02)00067-x","title":"Metal concentrations in the milk and tissues of a nursing Tursiops truncatus female","year":2002,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Ministry of Environment","keywords":"Bottlenose dolphin; Mercury (programming language); Pollutant; Copper; Cetacea; Fishery; Metal; Biology; Environmental chemistry; Zoology; Animal science; Ecology; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000146124,0.00006685205,0.00009267517,0.00002184451,0.00009651481,0.00001164618,0.0000608653,0.00002148157,0.005137525],"category_scores_gemma":[0.00005148813,0.00004900147,0.00002120582,0.0001399541,0.0002451768,0.00003684782,0.00003894707,0.00005544446,0.0001118423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003365156,"about_ca_system_score_gemma":0.000001408908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003547058,"about_ca_topic_score_gemma":0.00007185942,"domain_scores_codex":[0.9994095,0.0000655471,0.0001466859,0.0001032536,0.0001454314,0.0001296017],"domain_scores_gemma":[0.9997935,0.00003540497,0.00004741573,0.00009093688,0.000004145636,0.00002854189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008151989,0.001419357,0.4624433,0.00004205865,0.00006375297,0.00002194411,0.0776048,0.0003131965,0.02053319,0.01132617,0.1439154,0.2822353],"study_design_scores_gemma":[0.0007456889,0.0001015062,0.8833972,0.00003136398,0.00003896309,0.00004248523,0.003993025,0.0003938648,0.002605431,0.0007163844,0.1077612,0.0001728462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274122,0.0004266223,0.00003629628,0.01301779,0.00004869162,0.0001773633,0.000006893095,0.00001142422,0.05886271],"genre_scores_gemma":[0.9974771,0.0001248413,0.0003502339,0.0002982388,0.00001727873,0.000008471399,0.000002913568,0.000002885787,0.00171802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4209539,"threshold_uncertainty_score":0.9957719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868047008051104,"score_gpt":0.2624966743933813,"score_spread":0.2338162043128702,"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."}}