{"id":"W2069781581","doi":"10.2118/165527-ms","title":"Kinetic Models for Low Temperature Oxidation Subranges based on Reaction Products","year":2013,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference-Canada","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Combustion; Context (archaeology); Reaction rate; Cracking; Atmospheric temperature range; Enhanced oil recovery; Chemistry; Thermodynamics; Petroleum engineering; Geology; Physical chemistry; Catalysis; Physics","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":[0.0004342712,0.0008158008,0.0006936085,0.000617136,0.0003693198,0.0009561691,0.001240877,0.000980992,0.001810167],"category_scores_gemma":[0.0007529376,0.0003999484,0.001132889,0.0004028639,0.0006950966,0.001091144,0.0004748923,0.0008724121,0.0004093811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163205,"about_ca_system_score_gemma":0.0006921831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091671,"about_ca_topic_score_gemma":0.004763817,"domain_scores_codex":[0.9998634,0.00002197481,0.00001083592,0.0000412943,0.00003568462,0.00002687002],"domain_scores_gemma":[0.9996254,0.0001885787,0.00007244207,0.00002784078,0.00006352889,0.00002218856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002890499,0.00002941915,0.0006680733,0.00003245298,0.000008468352,0.00004196288,0.000027036,0.9879707,0.005939248,0.003913703,0.00006050301,0.001279555],"study_design_scores_gemma":[0.000001332451,0.000004112467,0.00006207854,0.000001012497,0.000001783622,0.000002856556,0.000001999463,0.999062,0.0005097417,0.0002781772,0.00007323072,0.000001710926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5573224,0.001047734,0.4198798,0.0003023021,0.0001067914,0.0001843514,0.0006672256,0.0004157075,0.02007372],"genre_scores_gemma":[0.9878871,0.0002611241,0.006710968,0.00001491682,0.000009087549,0.0001177938,0.0001592113,0.00004025216,0.004799531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091671,"threshold_uncertainty_score":0.02170634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575218567865154,"score_gpt":0.2061282086657722,"score_spread":0.1903760229871207,"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."}}