{"id":"W4388771422","doi":"10.3390/math11224669","title":"Cost Prediction in Blockchain-Enabled Pharmaceutical Supply Chain under Uncertain Demand","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Supply chain; Component (thermodynamics); Weighting; Function (biology); Schedule; Ranking (information retrieval); Mathematical optimization; Machine learning; Data mining; Artificial intelligence; Mathematics","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":[0.000918637,0.0001523434,0.0002108488,0.0003051982,0.0001378751,0.00005694096,0.0006644714,0.0001794787,0.00003329294],"category_scores_gemma":[0.00006610025,0.0001444878,0.00004460654,0.001465706,0.00008796505,0.00005894413,0.0002811044,0.0002935343,0.0002422636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007891819,"about_ca_system_score_gemma":0.00004509536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000832055,"about_ca_topic_score_gemma":0.00002051828,"domain_scores_codex":[0.9985899,0.00005124412,0.0003585683,0.0003468156,0.0002386201,0.0004147954],"domain_scores_gemma":[0.9989544,0.0002313742,0.00007162077,0.0006158776,0.00004499469,0.00008170884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004407135,0.0005053583,0.001394479,0.0001457729,0.0000347312,0.00004799126,0.003430234,0.005485933,0.001110201,0.9743891,0.005372294,0.008079531],"study_design_scores_gemma":[0.0004416264,0.00001988415,0.0006826649,0.00003078946,0.000006436968,0.00002270415,0.0002911034,0.8285611,0.001260543,0.1669427,0.001608234,0.0001322474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3057317,0.00009140187,0.6813657,0.008890667,0.0001822402,0.00100306,0.00001626274,0.001477784,0.001241292],"genre_scores_gemma":[0.9772719,0.00004473204,0.02138208,0.0002922308,0.00003956222,0.0003278163,0.00001001455,0.00001814861,0.0006134726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8230752,"threshold_uncertainty_score":0.5892041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04317286037355861,"score_gpt":0.3050324674385439,"score_spread":0.2618596070649853,"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."}}