{"id":"W2073889573","doi":"10.1021/ef010213p","title":"Sensitivity of Asphaltene Properties to Separation Techniques","year":2002,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":218,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Syncrude","keywords":"Asphaltene; Solubility; Solvent; Chromatography; Chemistry; Precipitation; Hildebrand solubility parameter; Yield (engineering); Molar mass; Chemical engineering; Materials science; Organic chemistry; Composite material; Polymer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009933212,0.00009693449,0.0001728798,0.00005655192,0.00005491541,0.00001978657,0.00006534558,0.00006356085,0.0002405589],"category_scores_gemma":[0.00004555451,0.00008355955,0.00006394527,0.0001428164,0.00002870464,0.00008093956,0.00002659434,0.00004841309,0.00001104145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002354407,"about_ca_system_score_gemma":0.000009419921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002288524,"about_ca_topic_score_gemma":0.00004814972,"domain_scores_codex":[0.9993511,0.00002332104,0.0001658371,0.0001718892,0.0001547429,0.0001330446],"domain_scores_gemma":[0.9995925,0.0000165334,0.00006957489,0.0001913376,0.00007895854,0.00005103869],"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":[0.000005881447,0.00004841521,0.0000881248,0.00003333313,0.00002249696,0.000003617774,0.0001128084,0.00003493901,0.9255457,0.00006116302,0.0002813891,0.07376213],"study_design_scores_gemma":[0.00004263791,0.00001357451,0.0000110813,0.00006275999,0.00002105484,0.000003930617,0.00003060697,0.0005269977,0.9817941,0.0000325058,0.01736038,0.0001003739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9146403,0.0005734582,0.00204608,0.0003653478,0.00001436835,0.000003381931,0.000005469678,0.0001637608,0.08218783],"genre_scores_gemma":[0.9730431,0.00004848012,0.0005791217,0.00012544,0.0001070918,0.00001265786,0.000004992773,0.00001073449,0.02606836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07366176,"threshold_uncertainty_score":0.340746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871982975760013,"score_gpt":0.2434306943826933,"score_spread":0.2247108646250932,"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."}}