{"id":"W2529975948","doi":"10.2118/178095-pa","title":"Investigation of Thermal Fingerprint in Accelerating-Rate Calorimetry for Air-Injection Enhanced-Oil-Recovery Processes","year":2016,"lang":"en","type":"article","venue":"SPE Journal","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Chemistry; Mass transfer; Asphalt; Differential scanning calorimetry; Calorimetry; Thermodynamics; Analytical Chemistry (journal); Thermogravimetric analysis; Oxygen; Combustion; Atmospheric temperature range; Reaction rate; Heat transfer; Materials science; Organic chemistry; Chromatography; Composite material","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":[0.0003745171,0.0001172081,0.0001982335,0.0001366137,0.0001068745,0.00004537835,0.0001287082,0.00009092798,0.0001308635],"category_scores_gemma":[0.0005155144,0.00008204583,0.00009128472,0.0002082848,0.00004106791,0.0003265319,0.00001671692,0.0001657906,0.0000038377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160712,"about_ca_system_score_gemma":0.0002732288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002195061,"about_ca_topic_score_gemma":0.00003264075,"domain_scores_codex":[0.9990541,0.00002144715,0.0004003051,0.0001663829,0.00015768,0.0002000275],"domain_scores_gemma":[0.9990908,0.0001270849,0.0004041504,0.00009512636,0.000220157,0.00006270321],"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":[0.00008367447,0.0000170218,0.009417892,0.0002224686,0.00003608589,0.000001169059,0.0001503486,0.0005217961,0.9183518,0.00000477314,0.00002369628,0.07116929],"study_design_scores_gemma":[0.0006792667,0.00005297839,0.001176542,0.0006705855,0.00003348838,0.00001161034,0.0001013728,0.0003757314,0.9956331,0.001022741,0.0001051542,0.000137479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921441,0.0001947352,0.0046718,0.0002728334,0.00008721401,0.000005095913,0.000008048907,0.00001955196,0.002596602],"genre_scores_gemma":[0.996082,0.00009464817,0.0009776967,0.00003566601,0.0004435936,0.00000827592,0.000003018982,0.00001517764,0.00233989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07728127,"threshold_uncertainty_score":0.3345732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086685159323168,"score_gpt":0.2515860677544631,"score_spread":0.2307192161612314,"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."}}