{"id":"W2399886942","doi":"","title":"Clustering of Products to Identify Optimal Inventory Prediction Models.","year":2011,"lang":"en","type":"article","venue":"Indian International Conference on Artificial Intelligence","topic":"Statistical and Computational Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Cluster analysis; Computer science; Data mining; Artificial intelligence","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":[0.00123779,0.000963871,0.001167533,0.002975256,0.0005577753,0.001387138,0.001585399,0.001114299,0.002056023],"category_scores_gemma":[0.004466997,0.0006024176,0.00114147,0.002465304,0.000383024,0.001182216,0.0004693112,0.0008677867,0.00102884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249242,"about_ca_system_score_gemma":0.001251155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002478,"about_ca_topic_score_gemma":0.01556091,"domain_scores_codex":[0.9994115,0.000187829,0.00003747542,0.0001582934,0.0001228666,0.00008203296],"domain_scores_gemma":[0.9988202,0.0005211692,0.0001250048,0.0001661004,0.0003048207,0.00006256951],"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":[0.0002648087,0.0002124257,0.00562755,0.0001159591,0.0002408964,0.00005461775,0.00008789219,0.8664484,0.001569457,0.005260846,0.005860952,0.1142562],"study_design_scores_gemma":[0.000004428034,0.0000156335,0.0007364193,0.000009764413,0.00001370429,0.0000075408,0.0000197135,0.9955003,0.0003405427,0.002975592,0.0003705003,0.000005943538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1277292,0.001528369,0.8639586,0.0003640986,0.0001293029,0.0002222896,0.001386873,0.001209879,0.003471266],"genre_scores_gemma":[0.7472296,0.0006050888,0.2445216,0.00007827851,0.00006477188,0.0001921666,0.004145096,0.0001821325,0.002981212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02002478,"threshold_uncertainty_score":0.03981644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2398035938578342,"score_gpt":0.3504457422213326,"score_spread":0.1106421483634984,"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."}}