{"id":"W2027822490","doi":"10.1007/s11663-012-9712-9","title":"On the Development of Thermo-Kinetic Eh-pH Diagrams","year":2012,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kinetic energy; Electrochemistry; Chemistry; Dissolution; Thermodynamics; Polarization (electrochemistry); Leaching (pedology); Electrochemical potential; Inorganic chemistry; Analytical Chemistry (journal); Electrode; Physical chemistry; 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":[0.0006181846,0.0005002176,0.0003807421,0.0009675169,0.0001993127,0.0008651431,0.0008822738,0.0004501367,0.004761453],"category_scores_gemma":[0.001946567,0.0002746408,0.0003212757,0.0004734672,0.0003958057,0.001326051,0.0004220198,0.0008277565,0.0009923606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004505028,"about_ca_system_score_gemma":0.0003362105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000747874,"about_ca_topic_score_gemma":0.001041697,"domain_scores_codex":[0.9997215,0.00006338528,0.00001851414,0.00004574675,0.0001296947,0.00002125075],"domain_scores_gemma":[0.99941,0.0003197288,0.00005311826,0.00004781484,0.0001491223,0.00002015957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000310066,0.0002033142,0.002352163,0.001321839,0.00004168653,0.0003804824,0.0003097843,0.1094606,0.3035887,0.3220395,0.003412048,0.2565797],"study_design_scores_gemma":[0.00002562835,0.0001125413,0.002036219,0.00009201614,0.00002727124,0.0004089351,0.00006924024,0.7287218,0.1806046,0.05863464,0.02921068,0.0000564602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02552997,0.0009589095,0.9559637,0.0001510014,0.00008332688,0.00009732613,0.0004202494,0.001108554,0.01568698],"genre_scores_gemma":[0.5984704,0.002090879,0.3884681,0.0001027723,0.00005105185,0.0002269624,0.0005742502,0.0004841388,0.009531487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004761453,"threshold_uncertainty_score":0.01592869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049648680891891,"score_gpt":0.2461843898449362,"score_spread":0.2156879030360172,"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."}}