{"id":"W2326730900","doi":"10.1021/ef101230g","title":"Metal Oxide Nanoparticles for Asphaltene Adsorption and Oxidation","year":2011,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":311,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Asphaltene; Adsorption; Thermogravimetric analysis; Nanoparticle; Oxide; Catalysis; Langmuir adsorption model; Inorganic chemistry; Metal; Chemistry; Chemical engineering; Non-blocking I/O; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001120735,0.00009495741,0.000126331,0.00003762542,0.00007382492,0.00002494405,0.00006655176,0.00005888297,0.0001731948],"category_scores_gemma":[0.00004199964,0.00008707186,0.00006054765,0.00006249968,0.00003204681,0.000149221,0.00001758716,0.00003081477,0.000004063895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001312638,"about_ca_system_score_gemma":0.00001343428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109586,"about_ca_topic_score_gemma":0.00003035172,"domain_scores_codex":[0.9993953,0.00001143891,0.0001501336,0.000200242,0.00008512536,0.0001577221],"domain_scores_gemma":[0.999665,0.00002988653,0.00007864225,0.0001218343,0.00004239513,0.00006226477],"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":[0.00003425847,0.00003661678,0.0002551772,0.00002674189,0.00004929283,7.670079e-7,0.00005790062,0.000001882836,0.9726045,0.001015671,0.00001986585,0.0258973],"study_design_scores_gemma":[0.0002748927,0.00001499208,0.0002889843,0.00001510711,0.0001025817,0.000003484558,0.00006353958,0.0001510556,0.9937322,0.001440125,0.003804781,0.0001083098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922312,0.0006687528,0.00164007,0.00003551333,0.00001913537,0.00000274808,0.00000448704,0.00006816113,0.005329948],"genre_scores_gemma":[0.9922165,0.00006012123,0.001711162,0.00005854309,0.00007502204,0.0000317606,0.00003058897,0.00001348211,0.005802809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02578899,"threshold_uncertainty_score":0.3550687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201695853309881,"score_gpt":0.2299853863605678,"score_spread":0.207968427827469,"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."}}