{"id":"W2068985004","doi":"10.1016/j.tca.2012.01.017","title":"TG/DTA study on the oxidation of nickel concentrate","year":2012,"lang":"en","type":"article","venue":"Thermochimica Acta","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Nickel sulfide; Nickel; Thermogravimetric analysis; Electron microprobe; Sulfide; Non-blocking I/O; Differential thermal analysis; Roasting; Chemistry; Iron sulfide; Sulfate; Thermal analysis; Redox; Atmospheric temperature range; Inorganic chemistry; Analytical Chemistry (journal); Metallurgy; Materials science; Sulfur; Diffraction; Mineralogy; Catalysis; Physical chemistry; Thermal; Thermodynamics; Organic chemistry","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":[0.0001253326,0.0002276377,0.0003349076,0.0003009929,0.0005265119,0.0002475152,0.0002382285,0.0003453493,0.002825428],"category_scores_gemma":[0.0001350873,0.0001130396,0.0002750577,0.0004091061,0.0002672868,0.0002113017,0.0001118904,0.0004778659,0.0003707802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003436484,"about_ca_system_score_gemma":0.000221537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005980093,"about_ca_topic_score_gemma":0.005893169,"domain_scores_codex":[0.9999099,0.000008003355,0.000004369621,0.00002153446,0.00002941723,0.000026722],"domain_scores_gemma":[0.9999453,0.0000146946,0.000006870735,0.000005977613,0.00002235407,0.000004767819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004607303,0.00001909333,0.0005662687,0.00009724974,0.00001503674,0.0001546647,0.000154997,0.0001357531,0.9960935,0.0001662304,0.00009315537,0.002043231],"study_design_scores_gemma":[0.000006589606,0.0001597187,0.005650579,0.000007229575,0.00002423308,0.00009924833,0.0001514685,0.0005781564,0.9916055,0.00004409123,0.0016666,0.000006540446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919435,0.001248792,0.001075705,0.00007762002,0.00002236943,0.00001357572,0.0003258654,0.00002457996,0.005268015],"genre_scores_gemma":[0.9961915,0.0004429964,0.0002889665,0.00002429612,0.00000601225,0.000007800899,0.0002144257,0.00001042329,0.002813554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005980093,"threshold_uncertainty_score":0.01189059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401847593985995,"score_gpt":0.2478490419340973,"score_spread":0.2138305659942373,"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."}}