{"id":"W4403415228","doi":"10.1021/acs.energyfuels.4c03014","title":"Enhancing the Bitumen Partial Upgrading Process with Fe<sub>3</sub>O<sub>4</sub>-Coated Cenospheres and Artificial Neural Network-Driven Process Optimization","year":2024,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Western University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Cenosphere; Process (computing); Asphalt; Process engineering; Materials science; Chemical engineering; Computer science; Biological system; Engineering; Artificial intelligence; Composite material; Biology","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":[0.00009426744,0.0004738629,0.0003125208,0.0001603855,0.0001010706,0.0003418134,0.0003086734,0.0003195614,0.0004804469],"category_scores_gemma":[0.0001525678,0.0001497805,0.0002734864,0.0001649567,0.0001405837,0.0003278002,0.0002220761,0.0003232558,0.0001213912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003082014,"about_ca_system_score_gemma":0.0003359165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119106,"about_ca_topic_score_gemma":0.003340928,"domain_scores_codex":[0.9999489,0.00000417817,0.000002808354,0.00001259974,0.00002080365,0.00001064914],"domain_scores_gemma":[0.9999669,0.000008521817,0.000009493003,0.000003121648,0.000008364094,0.000003589522],"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":[0.0001546891,0.00008536115,0.001203632,0.0001793498,0.00003026594,0.0001360075,0.00003091443,0.1625236,0.7858734,0.0008665608,0.0001115825,0.04880465],"study_design_scores_gemma":[0.0000111943,0.0001899063,0.001057073,0.000006434547,0.00002506739,0.00005187024,0.00002603148,0.6708049,0.3259628,0.0002902475,0.001562546,0.00001198228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.834417,0.0009102999,0.1603074,0.00009418885,0.0000346157,0.00005210634,0.00007226429,0.0003606202,0.003751401],"genre_scores_gemma":[0.9538704,0.0003606681,0.04423592,0.00002268085,0.000003368653,0.00002463853,0.00005704854,0.00002254441,0.001402706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00119106,"threshold_uncertainty_score":0.002368271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007889839847547106,"score_gpt":0.2209225454298338,"score_spread":0.2130327055822867,"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."}}