{"id":"W2253917271","doi":"10.2118/178095-ms","title":"Investigation of Thermal Finger Print in Accelerating Rate Calorimetry for Air-Injection Enhanced Oil Recovery Processes.","year":2015,"lang":"en","type":"article","venue":"","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Thermodynamics; Chemistry; Atmospheric temperature range; Calorimetry; Thermal diffusivity; Atmospheric pressure; Differential scanning calorimetry; Mass transfer; Analytical Chemistry (journal); Solubility; Heat transfer; Asphalt; Oxygen; Materials science; Composite material; Chromatography; Organic chemistry","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":[0.0006399015,0.000216536,0.0002682669,0.0002581506,0.0001494781,0.0002477199,0.0003638158,0.0002884865,0.001095796],"category_scores_gemma":[0.0007712348,0.0001562113,0.000202042,0.0002999682,0.0002763918,0.0003221231,0.0001425332,0.0003969199,0.0001969744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003005636,"about_ca_system_score_gemma":0.000136348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005797368,"about_ca_topic_score_gemma":0.0009456735,"domain_scores_codex":[0.9996537,0.00005233144,0.00001330913,0.00004599693,0.0002109607,0.00002370087],"domain_scores_gemma":[0.9993697,0.0003001655,0.0001040652,0.00005612598,0.0001535955,0.00001637723],"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":[0.0001231723,0.00003609747,0.000780507,0.00009814649,0.000005540744,0.00007492128,0.00006881814,0.001526997,0.9908926,0.0001251958,0.00005799569,0.006209966],"study_design_scores_gemma":[0.000002694287,0.0001220474,0.001958885,0.000004246065,0.000005767883,0.00003765999,0.00002227462,0.009647395,0.9878486,0.00001606696,0.0003290289,0.000005213756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745277,0.0006727559,0.0231645,0.00005330888,0.00003677356,0.00005821668,0.0001623569,0.0002382126,0.001086099],"genre_scores_gemma":[0.9887496,0.0002538506,0.00955765,0.00002032701,0.000004365364,0.00002432574,0.00007299333,0.00003316947,0.001283751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001095796,"threshold_uncertainty_score":0.003665805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0346253750239699,"score_gpt":0.236611777655105,"score_spread":0.2019864026311352,"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."}}