{"id":"W2030842891","doi":"10.1021/ef2001772","title":"Application of Nanotechnology for Heavy Oil Upgrading: Catalytic Steam Gasification/Cracking of Asphaltenes","year":2011,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Asphaltene; Adsorption; Catalysis; Cracking; Chemical engineering; Fluid catalytic cracking; Nanoparticle; Non-blocking I/O; Materials science; Thermogravimetric analysis; Oxide; Chemistry; Organic chemistry; Nanotechnology; Metallurgy; 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":[0.0001102176,0.0001178746,0.0002785949,0.000122581,0.00006380848,0.000004728365,0.0002916817,0.0001481971,0.000028675],"category_scores_gemma":[0.00006465446,0.0001172214,0.0001199862,0.0002240135,0.0001051385,0.00006302625,0.00002782635,0.00005590678,0.000001585475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000277495,"about_ca_system_score_gemma":0.00005490111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003897357,"about_ca_topic_score_gemma":0.00002842877,"domain_scores_codex":[0.9990609,0.000007077591,0.0003821236,0.00025962,0.0001161662,0.0001740661],"domain_scores_gemma":[0.9989325,0.0000532601,0.0004055258,0.0004184299,0.000153745,0.00003649373],"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":[0.0000267236,0.0001110844,0.0007490752,0.0002526379,0.00007138905,2.225815e-7,0.000100248,0.00001630283,0.8164501,0.004854266,0.000009856834,0.1773581],"study_design_scores_gemma":[0.0002179699,0.00001968243,0.00003552197,0.00005102998,0.0000956507,0.00000277942,0.0001867083,0.0005465755,0.9934118,0.001379983,0.003946569,0.0001057141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449733,0.001779999,0.03707041,0.0001231671,0.00004008107,0.000008094983,0.00002801068,0.0001388837,0.01583807],"genre_scores_gemma":[0.9952721,0.0000916518,0.001637719,0.0000146273,0.00004769745,0.00007321244,0.00005537441,0.00002010669,0.002787512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1772524,"threshold_uncertainty_score":0.478015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033867930804805,"score_gpt":0.2424433426523637,"score_spread":0.2221046633443156,"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."}}