{"id":"W2038065739","doi":"10.1016/j.mineng.2014.05.027","title":"Self-heating: Estimation of the heat release coefficient QA for Ni- and Cu-concentrates and sulphide mixtures","year":2014,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Galvanic cell; Chemistry; Thermodynamics; Materials science; Analytical Chemistry (journal); Metallurgy; Chromatography","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":[0.0003492204,0.0002598431,0.0003071604,0.0006181597,0.0002156978,0.0002898296,0.0003346526,0.0002779284,0.0007901742],"category_scores_gemma":[0.0006289656,0.0002474803,0.0003276824,0.0002994504,0.0002678194,0.0003137851,0.0002246808,0.0002395484,0.0002339966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003681659,"about_ca_system_score_gemma":0.0001904636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003196326,"about_ca_topic_score_gemma":0.00288466,"domain_scores_codex":[0.9998181,0.00002974026,0.00001130606,0.00004923269,0.00006852591,0.00002300426],"domain_scores_gemma":[0.9997625,0.0001085706,0.00002715753,0.00002834859,0.00006278815,0.00001065022],"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":[0.0009340555,0.00004174497,0.01380014,0.0001075213,0.00003919506,0.00004688503,0.0001473307,0.005081962,0.96679,0.0001556217,0.000101725,0.01275365],"study_design_scores_gemma":[0.000006279239,0.00009865782,0.02272182,0.000002889005,0.00002169794,0.00005327152,0.00004394341,0.02511975,0.9516351,0.00002746001,0.0002605055,0.000008699007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919721,0.0002017254,0.006958873,0.000009453017,0.000003914718,0.00001490993,0.0001139544,0.00009039098,0.0006347811],"genre_scores_gemma":[0.9982667,0.00005835589,0.001134997,0.000001832916,0.000001599791,0.000008302589,0.0000715097,0.00001292202,0.0004439015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003196326,"threshold_uncertainty_score":0.006355464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004471668478059957,"score_gpt":0.1953845047727366,"score_spread":0.1909128362946766,"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."}}