{"id":"W4362554004","doi":"10.1016/j.energy.2023.127435","title":"Integration of ramped temperature oxidation and combustion tube tests for kinetic modeling of heavy oil in-Situ combustion","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"China Postdoctoral Science Foundation","keywords":"Combustion; Atmospheric temperature range; Kinetics; Tube furnace; Fluidized bed combustion; Chemistry; Chemical kinetics; Chemical looping combustion; Work (physics); Materials science; Chemical engineering; Nuclear engineering; Thermodynamics; Organic chemistry; 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":[0.0001240948,0.00008292676,0.0001735501,0.0001546928,0.00003586327,0.00001444695,0.00004755246,0.0001086756,0.00000392775],"category_scores_gemma":[0.0001113261,0.00007986857,0.00003967397,0.0003062057,0.00002026165,0.00007858653,0.00001245008,0.00006249332,1.865656e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002297088,"about_ca_system_score_gemma":0.00002129323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001491187,"about_ca_topic_score_gemma":0.0002023117,"domain_scores_codex":[0.9993779,0.00001445959,0.0002530244,0.0001511009,0.0001107111,0.00009279808],"domain_scores_gemma":[0.999608,0.00005483916,0.0001012503,0.00009954513,0.0001156616,0.0000206822],"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":[0.00004168236,0.00003101448,0.0001069277,0.0001783534,0.00001017579,2.285721e-7,0.0001060501,0.04517219,0.934781,0.0002297818,0.00001852174,0.01932407],"study_design_scores_gemma":[0.0004684321,0.00001759617,0.0001213687,0.0002673535,0.00003254421,7.590447e-7,0.0002251721,0.3437423,0.6547427,0.0002788467,0.00003023908,0.00007264841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996152,0.0001829633,0.003129905,0.00009078081,0.00002221375,0.000003676934,0.000005963376,0.00003542349,0.0003771059],"genre_scores_gemma":[0.9980947,0.000158508,0.0003628967,0.000009445343,0.0000395009,0.0000139711,0.0004295521,0.00001015265,0.0008813053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2985701,"threshold_uncertainty_score":0.3256946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677700277392452,"score_gpt":0.2544924814333648,"score_spread":0.2377154786594403,"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."}}