{"id":"W4411553900","doi":"10.1016/j.cattod.2025.115428","title":"Machine learning assisted bio-oil deoxygenation under methane environment: The model compound study on guaiacol","year":2025,"lang":"en","type":"article","venue":"Catalysis Today","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Deoxygenation; Guaiacol; Hydrodeoxygenation; Catalysis; Methane; Organic chemistry; Chemistry; Biochemical engineering; Environmental science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001265314,0.0002347098,0.0003423519,0.0001123184,0.0001354289,0.0002177953,0.0001967272,0.0001856319,0.0007744218],"category_scores_gemma":[0.0001882946,0.00006481112,0.0002133698,0.0001629375,0.00015273,0.0003489817,0.0001608929,0.0002804093,0.0001383244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003202338,"about_ca_system_score_gemma":0.0002179339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004005356,"about_ca_topic_score_gemma":0.005518551,"domain_scores_codex":[0.9999623,0.000009043796,0.000001151658,0.000008622001,0.000007534456,0.0000113448],"domain_scores_gemma":[0.9999592,0.00001569237,0.000006063817,0.000005151254,0.000009593607,0.000004281191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001366763,0.000418528,0.003230538,0.0006761628,0.00009817272,0.000344309,0.000155509,0.1234167,0.808006,0.00614877,0.0008061075,0.05533239],"study_design_scores_gemma":[0.00003561057,0.001131307,0.002563087,0.000008566169,0.00004261673,0.00007623709,0.00006576261,0.4059849,0.5869433,0.0004373924,0.002682215,0.00002897328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919715,0.001239524,0.004906956,0.0001199552,0.00001505279,0.00001012322,0.00006521589,0.00005138325,0.001620283],"genre_scores_gemma":[0.9957836,0.0007371901,0.001872084,0.00001364242,0.000003162767,0.000004086693,0.00008298132,0.000007280289,0.001495934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004005356,"threshold_uncertainty_score":0.007964075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939991231709905,"score_gpt":0.265400963760375,"score_spread":0.246001051443276,"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."}}