{"id":"W4400351162","doi":"10.1109/eic58847.2024.10579312","title":"Optimizing the Impact of Pour Point Depressants on Natural Ester Properties Using Taguchi-Grey Relational Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Process Optimization and Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec","keywords":"Taguchi methods; Grey relational analysis; Computer science; Point (geometry); Natural (archaeology); Chemistry; Mathematics; Statistics; Machine learning; 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":[0.001212,0.0005363832,0.0007784387,0.000686591,0.0002386825,0.0009983183,0.0004319814,0.0004063695,0.0006778503],"category_scores_gemma":[0.001012923,0.0002820338,0.0008051858,0.001004745,0.0003074548,0.0004295703,0.0003478069,0.0004343816,0.0002184528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000576242,"about_ca_system_score_gemma":0.0005982814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001875422,"about_ca_topic_score_gemma":0.004622716,"domain_scores_codex":[0.9992926,0.000151897,0.00006222512,0.00008828048,0.0003473354,0.00005758079],"domain_scores_gemma":[0.9996727,0.0001751471,0.00006997265,0.0000164782,0.0000580424,0.000007759361],"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":[0.0004365067,0.0002247814,0.001997552,0.0008372058,0.00005797792,0.0001125224,0.0001572704,0.08609303,0.8681177,0.001008285,0.00009833318,0.04085888],"study_design_scores_gemma":[0.00002016056,0.0009224721,0.002599124,0.00002807775,0.0001336727,0.00005702228,0.00009944065,0.1350297,0.8592669,0.0004525602,0.001349872,0.00004091469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8362212,0.00318694,0.1553615,0.0001413532,0.00002909392,0.000221981,0.0003022779,0.0001559346,0.004379791],"genre_scores_gemma":[0.9255126,0.001924411,0.07105943,0.00003377977,0.000004006498,0.0001409984,0.0001374763,0.00002496519,0.001162414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001875422,"threshold_uncertainty_score":0.006409764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038886405325713,"score_gpt":0.2702226424365983,"score_spread":0.2398337783833412,"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."}}