{"id":"W2017981423","doi":"10.1002/cjce.20237","title":"Electric‐oxidation kinetics of molybdenite concentrate in acidic NaCl solution","year":2009,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Dissolution; Kinetics; Electrolyte; Activation energy; Molybdenite; Chemistry; Leaching (pedology); Diffusion; Inorganic chemistry; Nuclear chemistry; Analytical Chemistry (journal); Materials science; Metallurgy; Physical chemistry; Thermodynamics; Chromatography; Electrode","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002389756,0.0002255309,0.0003295452,0.0001455441,0.0001171866,0.0002885159,0.0001797505,0.0002681825,0.0003877699],"category_scores_gemma":[0.0003952371,0.000111623,0.000196443,0.0001605657,0.000179051,0.0002451784,0.0001001053,0.0003110023,0.0001350027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891013,"about_ca_system_score_gemma":0.000185925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002441483,"about_ca_topic_score_gemma":0.002489454,"domain_scores_codex":[0.9998583,0.00001917471,0.00001019856,0.00002729969,0.00005985744,0.00002517031],"domain_scores_gemma":[0.9998535,0.00004744144,0.00002557293,0.00000578325,0.00005515956,0.00001239642],"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":[0.0001303868,0.00000849658,0.0002798697,0.00004075629,0.000007437882,0.00003601415,0.00003250503,0.0001849367,0.9980273,0.00002832574,0.00001053613,0.001213432],"study_design_scores_gemma":[0.000006313114,0.0001749659,0.0015532,0.000003687056,0.000009912778,0.00003516199,0.00003612852,0.001544828,0.9961601,0.00001375709,0.0004578994,0.000004002601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971845,0.000601207,0.001482932,0.0000347703,0.000009430779,0.00001156063,0.00006149353,0.00001230944,0.0006018487],"genre_scores_gemma":[0.9968777,0.0005167243,0.001187461,0.00001582859,0.000003900187,0.000006885155,0.00008830245,0.000006266979,0.001296978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002441483,"threshold_uncertainty_score":0.0048545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00712884627140286,"score_gpt":0.1850130149509126,"score_spread":0.1778841686795097,"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."}}