{"id":"W2034893377","doi":"10.1021/es051326g","title":"Historical Perspective of Industrial Lead Emissions to the Atmosphere from a Canadian Smelter","year":2006,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Smelting; Lead smelting; Transect; Sediment; Environmental science; Deposition (geology); Environmental chemistry; Atmosphere (unit); Geology; Chemistry; Geography; Geomorphology; Meteorology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002443628,0.0003365348,0.0001720658,0.002312964,0.00188175,0.0009144943,0.0005534347,0.0003360791,0.001594147],"category_scores_gemma":[0.0005674739,0.0001627806,0.0002147863,0.003419935,0.0005992074,0.0003595565,0.0004066126,0.0004997934,0.0001425683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01935119,"about_ca_system_score_gemma":0.008113534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848957,"about_ca_topic_score_gemma":0.9960576,"domain_scores_codex":[0.9996922,0.00001072422,0.00001431549,0.00006747773,0.0001348444,0.00008036413],"domain_scores_gemma":[0.9990962,0.00003183417,0.0001084374,0.00001603428,0.0006401438,0.0001074949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00011506,0.00002528487,0.9588554,0.0001123927,0.0001260336,0.000694458,0.001189473,0.000719958,0.00326945,0.0004393697,0.0020029,0.03245028],"study_design_scores_gemma":[0.000001574106,0.00001269999,0.9913704,0.00002092642,0.00004013551,0.0001564378,0.0007886891,0.0002632579,0.0006834609,0.00002841353,0.006621355,0.00001264385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823507,0.002546095,0.0002876858,0.0005604828,0.000020582,0.00001230774,0.003771926,0.00003651085,0.01041367],"genre_scores_gemma":[0.9956085,0.001500791,0.0003064812,0.00006968087,0.00000887089,0.000002923987,0.001037441,0.000006220024,0.001459182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01935119,"threshold_uncertainty_score":0.1404034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055416900639163,"score_gpt":0.2173219897766788,"score_spread":0.2067678207702872,"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."}}