{"id":"W1585491641","doi":"10.1002/ieam.1573","title":"Transformation/dissolution characteristics of a nickel matte and nickel concentrates for acute and chronic hazard classification","year":2014,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; Nickel Producers Environmental Research Association","keywords":"Nickel; Dissolution; Hazard; Hazard ratio; European union; Classification scheme; Metallurgy; Environmental science; Environmental chemistry; Chemistry; Medicine; Materials science; Computer science; Internal medicine; Confidence interval; Business; Machine learning","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":[0.001506689,0.0002531583,0.0002227831,0.0007047048,0.0002803243,0.0006499893,0.0002914201,0.0003194335,0.001545356],"category_scores_gemma":[0.001424083,0.0001294027,0.0003730973,0.0005989467,0.0004201274,0.0003136526,0.0004516657,0.0004248358,0.0004270886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517638,"about_ca_system_score_gemma":0.0004850525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00414973,"about_ca_topic_score_gemma":0.005304488,"domain_scores_codex":[0.9988962,0.0002143155,0.0001227648,0.0001724837,0.0004959932,0.00009817041],"domain_scores_gemma":[0.9990178,0.0001636033,0.0002292265,0.00007200164,0.0004868812,0.00003040228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008466858,0.0001677354,0.05671191,0.0002956451,0.00007609744,0.0001499636,0.0003856054,0.00232183,0.915145,0.0007747222,0.0005500416,0.02257472],"study_design_scores_gemma":[0.0000123223,0.001173576,0.06726768,0.00002803252,0.00005987182,0.0001627539,0.0003373892,0.006309051,0.9195634,0.000248743,0.004808203,0.00002905834],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767729,0.0003825507,0.01443445,0.00007751019,0.00002156521,0.0002798203,0.001742943,0.0000736885,0.006214494],"genre_scores_gemma":[0.9835533,0.0002571922,0.01214546,0.00005813737,0.000007796102,0.0001129901,0.001308642,0.00002703154,0.002529555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00414973,"threshold_uncertainty_score":0.00825119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027850904340588,"score_gpt":0.2594876608626362,"score_spread":0.2492091518192303,"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."}}