{"id":"W2003758247","doi":"10.1016/s0140-6736(05)67868-3","title":"Reducing mercury and responding to the global gold rush","year":2005,"lang":"en","type":"article","venue":"The Lancet","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mercury (programming language); European union; Scopus; Political science; Business; International trade; MEDLINE; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004084837,0.0006664873,0.000706203,0.001167259,0.0008904312,0.001532255,0.001012743,0.006356531,0.00906718],"category_scores_gemma":[0.01244658,0.0002770561,0.000661974,0.002017305,0.00261222,0.002020783,0.00141043,0.003239447,0.0008926403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00384953,"about_ca_system_score_gemma":0.006580165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03148947,"about_ca_topic_score_gemma":0.05034314,"domain_scores_codex":[0.9968669,0.001579997,0.0001238012,0.0002286765,0.0007791818,0.0004214244],"domain_scores_gemma":[0.9957606,0.002621221,0.0005220099,0.0001664369,0.0004373819,0.0004922395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003917315,0.0004738118,0.0116112,0.01159045,0.001577548,0.0005328103,0.003797501,0.001605966,0.00822501,0.06719929,0.4811373,0.4083318],"study_design_scores_gemma":[0.001385927,0.001295184,0.03548209,0.00421109,0.0009177437,0.0004177721,0.006837608,0.0001611192,0.004615529,0.06368937,0.8808799,0.0001066728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02720288,0.2104881,0.0003013414,0.7119466,0.007903357,0.00004559665,0.001208832,0.00008953055,0.04081371],"genre_scores_gemma":[0.3615769,0.2932662,0.001731975,0.3159738,0.007843254,0.0001961349,0.0004533705,0.00008332221,0.01887508],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03148947,"threshold_uncertainty_score":0.06261235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303072735355424,"score_gpt":0.2985998546821656,"score_spread":0.2682925811466232,"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."}}