{"id":"W2782791118","doi":"","title":"The characterization of arsenic mineral phases from legacy mine waste and soil near Cobalt, Ontario","year":2017,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arsenic; Cobalt; Mineral; Mining engineering; Environmental science; Waste management; Tailings; Geology; Geochemistry; Metallurgy; Engineering; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003336218,0.0001084959,0.0001269036,0.00002494049,0.000522804,0.0001504973,0.0003580431,0.00006010452,0.0005684044],"category_scores_gemma":[0.00001553568,0.00008986794,0.00004559706,0.00005749355,0.0003849049,0.001867037,0.000365746,0.00008953918,0.0000110369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004581915,"about_ca_system_score_gemma":0.00003655205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09491053,"about_ca_topic_score_gemma":0.008447251,"domain_scores_codex":[0.999381,0.00003898918,0.0000927003,0.0002011119,0.0001438374,0.000142345],"domain_scores_gemma":[0.9993083,0.00003785684,0.0002119325,0.0003580198,0.000006635332,0.00007726224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005552237,0.0003608874,0.699363,0.00003312289,0.0001416463,0.0001681527,0.006172015,0.00003818013,0.1100352,0.001220302,0.1737592,0.008153092],"study_design_scores_gemma":[0.001171014,0.0002034648,0.4243313,0.00005453573,0.00007168634,5.4447e-7,0.0006669874,0.0001626353,0.1514244,0.000387612,0.4211041,0.000421641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808677,0.000003607469,0.00009222716,0.01294146,0.00005806599,0.0001336464,0.00002698989,0.00004297246,0.005833296],"genre_scores_gemma":[0.9201785,0.0001477231,0.0006208397,0.00006730668,0.00003666463,3.987061e-7,0.00006271082,0.000008022383,0.07887778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2750316,"threshold_uncertainty_score":0.9111165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005783483777701502,"score_gpt":0.1756042539024243,"score_spread":0.1698207701247228,"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."}}