{"id":"W4239832685","doi":"10.25071/10315/365116","title":"There is a Monster Under the Ground: Commemorating the History of Arsenic Contamination at Giant Mine as a Warning to Future Generations","year":2019,"lang":"en","type":"article","venue":"Papers in Canadian History and Environment","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Monster; Contamination; Arsenic; Arsenic contamination of groundwater; Environmental science; History; Biology; Metallurgy; Ecology; Materials science; Art history","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003918315,0.0004018467,0.0004032312,0.00126137,0.03416235,0.008895433,0.001610032,0.008415221,0.01046485],"category_scores_gemma":[0.009262069,0.0003634522,0.0002783891,0.001857297,0.02460518,0.005693002,0.005173019,0.0140137,0.0008806516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03554527,"about_ca_system_score_gemma":0.08138643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8457385,"about_ca_topic_score_gemma":0.9477129,"domain_scores_codex":[0.9974287,0.000571334,0.00005391345,0.0002135029,0.0008622468,0.0008703315],"domain_scores_gemma":[0.9935376,0.001688733,0.0004378169,0.0001672051,0.002296948,0.00187155],"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":[0.0001025509,0.00002901179,0.006291847,0.0002924512,0.00002448918,0.002325827,0.1789781,0.0001620081,0.001531663,0.08899739,0.6732886,0.04797611],"study_design_scores_gemma":[0.000002780703,0.00001321293,0.002291139,0.000238197,0.000009881885,0.0002732433,0.05753684,0.0000239634,0.0003172602,0.006424807,0.9328279,0.00004083704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01786671,0.01230502,0.0005124409,0.9163139,0.009837546,0.00001193083,0.0001238905,0.00005026102,0.04297839],"genre_scores_gemma":[0.4324707,0.02359415,0.001362975,0.3553619,0.005668629,0.00002069882,0.000133745,0.0003206568,0.1810666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1542615,"threshold_uncertainty_score":0.3103399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006519563164352941,"score_gpt":0.1503656192817951,"score_spread":0.1438460561174421,"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."}}