{"id":"W2013662896","doi":"10.1021/ef8008597","title":"Study of Solvent−Bitumen−Water Rag Layers","year":2009,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Syncrude (Canada); University of Toronto","funders":"","keywords":"Asphaltene; Asphalt; Heptane; Toluene; Solvent; Chemistry; Chemical engineering; Viscosity; Fraction (chemistry); Adsorption; Layer (electronics); Organic chemistry; Chromatography; Materials science; 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":[0.00007800962,0.000136374,0.0002480643,0.0000655199,0.00007463602,0.00002667555,0.0002073108,0.00006250806,0.0005202972],"category_scores_gemma":[0.000007263765,0.0001035296,0.0001064433,0.0000989303,0.00002003017,0.00006814156,0.00002871015,0.00008304604,0.00001177458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002163995,"about_ca_system_score_gemma":0.00001543766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000106278,"about_ca_topic_score_gemma":0.00002267059,"domain_scores_codex":[0.999031,0.00001556205,0.0002465168,0.0002367346,0.000233243,0.0002369069],"domain_scores_gemma":[0.9995026,0.00001104939,0.00007706512,0.0003050729,0.00003983707,0.0000643915],"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":[0.00001834773,0.0006130099,0.0008076195,0.00001403838,0.0001239033,0.00002799033,0.0005917225,0.0001937601,0.9810401,0.00005437852,0.0001672412,0.01634789],"study_design_scores_gemma":[0.0006948326,0.0000907104,0.00009387659,0.00002501177,0.00008745545,0.000002829014,0.0006820376,0.00002634144,0.9886534,0.0002739441,0.009204953,0.0001645966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483542,0.0001925934,0.00006196294,0.0001039369,0.00002373053,0.00000219243,0.000001626913,0.00006011754,0.05119963],"genre_scores_gemma":[0.9763306,0.00001545126,0.00003336255,0.0001135952,0.000104194,0.000004632139,0.00001412908,0.00001091472,0.02337313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02797639,"threshold_uncertainty_score":0.5696889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078758725236687,"score_gpt":0.2388080119449293,"score_spread":0.2280204246925624,"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."}}