{"id":"W4413391696","doi":"10.1134/s199508022560623x","title":"A Comprehensive Study of Mellin’s Transformation on Diverse Fuzzy Numbers with Applications of Optimizing Production Planning","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Transformation (genetics); Fuzzy logic; Production (economics); Algebra over a field; Arithmetic; Production planning; Pure mathematics; Artificial intelligence; Computer science","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":[0.000191087,0.0001319561,0.0003735286,0.0002409147,0.00004455577,0.00001526599,0.0001374568,0.00004808685,0.00000550214],"category_scores_gemma":[0.00003069281,0.0001066383,0.00006570559,0.0003931564,0.00004039361,0.0001585747,0.00001081029,0.0001746631,0.0000011543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000453157,"about_ca_system_score_gemma":0.0000211079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001416208,"about_ca_topic_score_gemma":0.00000114982,"domain_scores_codex":[0.9987582,0.0000224462,0.0007529642,0.00006729052,0.0002944211,0.0001046948],"domain_scores_gemma":[0.9990111,0.0001149233,0.0003612628,0.0001659795,0.0003064175,0.00004029429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000555109,0.001245003,0.0000777916,0.002316932,0.0004074243,0.000002446362,0.0185504,0.9674089,0.0006425105,0.005492065,0.00009420882,0.003706785],"study_design_scores_gemma":[0.01393675,0.004481657,0.0004565075,0.01263913,0.003463724,0.0003014745,0.5905328,0.302417,0.05219428,0.01660864,0.001451101,0.001516917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3354449,0.0001271751,0.6584521,0.00003933007,0.0001008515,0.0008001802,0.000002027873,0.00004890342,0.004984572],"genre_scores_gemma":[0.9015074,0.00003777544,0.0983871,0.000005292158,0.00001644866,0.00001193242,0.000001357001,0.00001450073,0.00001814236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6649919,"threshold_uncertainty_score":0.4348586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169592210041827,"score_gpt":0.2717170929021405,"score_spread":0.2500211708017223,"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."}}