{"id":"W3004515384","doi":"10.1021/acs.energyfuels.0c00019","title":"Adsorption Kinetics of Asphaltenes at the Heptol–Water Interface","year":2020,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Suncor Energy Incorporated; Natural Sciences and Engineering Research Council of Canada; Imperial Oil Limited; Canadian Natural Resources Limited; Cenovus Energy; University of Calgary","keywords":"Asphaltene; Adsorption; Heptane; Chemistry; Toluene; Solvent; Kinetics; Surface tension; Diffusion; Chemical engineering; Monomer; Chromatography; Organic chemistry; Thermodynamics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001868105,0.0003281482,0.0003127583,0.0003373933,0.0002014443,0.0002708177,0.0002604036,0.0002570001,0.001133532],"category_scores_gemma":[0.000222505,0.0001749085,0.0002995592,0.0002678784,0.0001736335,0.0004843257,0.0002333988,0.0005750443,0.0003443315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000337063,"about_ca_system_score_gemma":0.0002453749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003319748,"about_ca_topic_score_gemma":0.00267456,"domain_scores_codex":[0.9998586,0.00001083499,0.000009437907,0.0000262424,0.00005205597,0.00004275495],"domain_scores_gemma":[0.9998786,0.00004050251,0.00002530554,0.000005759925,0.00003565081,0.00001417267],"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":[0.00005215253,0.00001705432,0.0003103427,0.00003633615,0.000003463764,0.000035531,0.0000280172,0.0002387381,0.9981619,0.00008113573,0.00001223922,0.001023264],"study_design_scores_gemma":[0.000002393755,0.00007428916,0.001696388,0.000002410855,0.000004826,0.00001834227,0.00002853532,0.003672375,0.9941359,0.00003226904,0.0003269973,0.000005307685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944306,0.0005550308,0.00364434,0.00002653189,0.00001299159,0.00001862274,0.0001814781,0.00004457652,0.001085793],"genre_scores_gemma":[0.9933105,0.0009349979,0.003029651,0.00001930914,0.000004733321,0.00002831474,0.0002539823,0.00001833823,0.002400231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003319748,"threshold_uncertainty_score":0.006600857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315275730277796,"score_gpt":0.2280513968916739,"score_spread":0.214898639588896,"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."}}