{"id":"W4416022168","doi":"10.1080/17597269.2025.2578575","title":"An in-depth comparative analysis of fuel evolution: tracking physico-chemical characteristics in conventional diesel, e-diesel, biodiesel, and aged biodiesel","year":2025,"lang":"en","type":"article","venue":"Biofuels","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Tracking (education); Biodiesel; Diesel fuel; Tracking system","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":[0.0001838817,0.0002865258,0.0003009192,0.0006664317,0.0002225424,0.0004270471,0.0001959832,0.0003110482,0.0005118269],"category_scores_gemma":[0.0002452668,0.0001179498,0.0003217815,0.0006799664,0.0001378225,0.0006121916,0.0002254131,0.000409824,0.0002105556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001798967,"about_ca_system_score_gemma":0.0001424036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001298501,"about_ca_topic_score_gemma":0.002017588,"domain_scores_codex":[0.9998803,0.000007774655,0.000008957402,0.00003650219,0.0000450304,0.00002136829],"domain_scores_gemma":[0.9998618,0.00002171126,0.00002433044,0.000006535411,0.00007518694,0.0000103685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001630464,0.00005630542,0.00924126,0.0002182222,0.00002592844,0.0001363065,0.0001453554,0.0003262475,0.9763879,0.00008290075,0.00008051508,0.01313597],"study_design_scores_gemma":[0.000004252858,0.0004329438,0.05084909,0.00002690546,0.00007055139,0.0003545059,0.000554411,0.003785271,0.9394907,0.0001333369,0.004258492,0.00003956362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921633,0.00206304,0.003466292,0.00003186784,0.00002235634,0.00002366413,0.0007620572,0.00003934354,0.001428037],"genre_scores_gemma":[0.9903374,0.002489628,0.003918172,0.0000524409,0.00001098713,0.00003660151,0.000852911,0.00003618686,0.002265757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001298501,"threshold_uncertainty_score":0.002581835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551750452022419,"score_gpt":0.2883368953197274,"score_spread":0.2628193907995032,"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."}}