{"id":"W4409604906","doi":"10.61091/jcmcc127b-298","title":"Research on Supply Chain Toughness Evaluation and Optimization Based on Integrated Learning Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Toughness; Computer science; Algorithm; Materials science; Business; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005137982,0.0002223981,0.0005223579,0.0006690013,0.000359879,0.0001827142,0.0002103228,0.0003484498,0.000005247372],"category_scores_gemma":[0.0008833617,0.0002012887,0.00006482528,0.0006469078,0.00007577438,0.00008979381,0.00005147913,0.001291875,9.15592e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002265164,"about_ca_system_score_gemma":0.000146102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005723547,"about_ca_topic_score_gemma":1.650135e-7,"domain_scores_codex":[0.9977289,0.0003979684,0.0007232241,0.000178255,0.0006868024,0.0002848041],"domain_scores_gemma":[0.9975389,0.00118837,0.0002534896,0.0001618728,0.0007816996,0.00007565688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002817062,0.000385282,0.00007383672,0.0002210132,0.0001864675,0.0000162745,0.0003769438,0.4965039,0.0001561247,0.4342946,0.0004690159,0.06703489],"study_design_scores_gemma":[0.005076024,0.0008360319,0.00001695655,0.001014701,0.00005778245,0.000007337999,0.0005550598,0.9481871,0.0004501108,0.04313928,0.0004994546,0.000160243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5849733,0.001380683,0.3393434,0.001044474,0.05707644,0.002899823,0.000008587087,0.000545867,0.0127274],"genre_scores_gemma":[0.997296,0.00002359216,0.002043221,0.00001166925,0.0005790396,0.000008595859,0.000003327085,0.00002584675,0.000008678884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4516832,"threshold_uncertainty_score":0.8208315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076219791421408,"score_gpt":0.2934050255887254,"score_spread":0.2726428276745114,"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."}}