{"id":"W4241985811","doi":"10.1149/ma2018-01/20/1311","title":"Electrochemical Behaviour of Iron in Molten Oxides","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Molten salt; Electrolysis; Steelmaking; Anode; Electrochemistry; Electrolytic process; Materials science; Carbon fibers; Oxide; Electrolyte; Waste management; Environmental science; Metallurgy; Process engineering; Chemistry; Electrode; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002917465,0.0000922522,0.0001225616,0.00007351732,0.00002020211,0.00001134326,0.00008303684,0.00008147031,0.00002975704],"category_scores_gemma":[0.0001249378,0.0000912117,0.00003318776,0.00009794877,0.0000258985,0.00006313732,0.00001154476,0.0002163518,0.00003864422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003231959,"about_ca_system_score_gemma":0.000007394837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009397075,"about_ca_topic_score_gemma":0.00004531926,"domain_scores_codex":[0.9992897,0.00001314429,0.0002771706,0.0001089551,0.0001116782,0.0001993413],"domain_scores_gemma":[0.9997349,0.00004669367,0.00004960076,0.00009825636,0.00002173566,0.00004882244],"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":[0.000005859052,0.00002500884,0.002751009,0.00002392729,0.000003523428,0.000002668739,0.0001044479,0.001916648,0.9947366,0.000003445349,0.0000743044,0.0003525913],"study_design_scores_gemma":[0.0001227918,0.00002440278,0.04558904,0.00007385702,0.000005573116,0.000007475689,0.00004906636,0.00246575,0.9510602,0.00003227423,0.0004612952,0.0001082708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8930081,0.00007179184,0.00001073373,0.00001638041,0.0001433766,0.00003677945,6.649631e-7,0.00009114409,0.1066211],"genre_scores_gemma":[0.9982039,0.000008578853,0.001563264,0.00001212183,0.0001333388,0.000001930247,0.000003195656,0.00001629996,0.0000574169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1065637,"threshold_uncertainty_score":0.3719505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105744816157089,"score_gpt":0.2366184010370568,"score_spread":0.2255609528754859,"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."}}