{"id":"W2553853709","doi":"","title":"Kinetics and transport phenomena in the chemical decomposition of copper oxychloride in the thermochemical Cu-CI Cycle","year":2012,"lang":"en","type":"dissertation","venue":"e-scholar@UOIT (University of Ontario Institute of Technology)","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; University of Ontario Institute of Technology","keywords":"Kinetics; Copper; Decomposition; Chemistry; Chemical kinetics; Pyrolysis; Inorganic chemistry; Chemical engineering; Thermodynamics; Organic chemistry; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008435845,0.0002229521,0.000495614,0.0002792661,0.0001109453,0.00001652993,0.001755668,0.0004464938,0.0001246152],"category_scores_gemma":[0.00006654001,0.0001911199,0.00007406595,0.0005358258,0.000702665,0.0005365198,0.0001195109,0.0006954714,0.000006191819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002321542,"about_ca_system_score_gemma":0.0002367726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005171647,"about_ca_topic_score_gemma":0.01271281,"domain_scores_codex":[0.9984936,0.00001172159,0.0004071809,0.0003734367,0.0004343853,0.0002796494],"domain_scores_gemma":[0.9988956,0.000009824054,0.0004231067,0.00053175,0.0001075513,0.00003217062],"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":[0.0002179639,0.0003005355,0.0003174623,0.0002166436,0.00001067918,0.00001809695,0.007337807,0.0000148348,0.9888203,0.001055681,0.00001394911,0.001676088],"study_design_scores_gemma":[0.001716324,0.0002058089,0.05788324,0.0006829971,0.0002774111,0.00006881335,0.006935806,0.00001736491,0.9042886,0.003849168,0.02349202,0.0005824797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968723,0.0001871334,0.00001040558,0.0001483594,0.0002643614,0.0003585086,0.00004516005,0.00001872369,0.002095046],"genre_scores_gemma":[0.985894,0.00004471889,0.01385067,0.00001753732,0.00001907006,0.000003415992,0.0001299508,0.000008763244,0.00003186387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08453169,"threshold_uncertainty_score":0.7818018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00900422412779348,"score_gpt":0.2246122645878485,"score_spread":0.215608040460055,"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."}}