{"id":"W6884593391","doi":"10.11575/prism/32980","title":"Simultaneous Hierarchical Clustering for Cell Formation Problems with Production Information","year":2018,"lang":"en","type":"other","venue":"University of Calgary","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Similarity (geometry); Aggregate (composite); Dependency (UML); Hierarchical clustering; Group technology; Cell formation; Process (computing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001307817,0.0002062168,0.0002471461,0.0005163446,0.0001104905,0.00001483665,0.0002034295,0.0002555219,0.0003455479],"category_scores_gemma":[0.00003208809,0.000219576,0.0000662845,0.0001729538,0.0001980011,0.0005407698,0.00006986893,0.0001289214,0.000539807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001710211,"about_ca_system_score_gemma":0.00008780413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002183143,"about_ca_topic_score_gemma":0.0007833323,"domain_scores_codex":[0.9991003,0.00003657306,0.0001601118,0.0001963932,0.0002989867,0.0002076471],"domain_scores_gemma":[0.9988824,0.0000322034,0.0005283739,0.000267356,0.0002235976,0.00006609559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004131555,0.0003517623,0.00005198672,0.008875716,0.000269144,0.00001395591,0.007201213,0.004874419,0.001184381,0.0001775025,0.9416764,0.03119201],"study_design_scores_gemma":[0.001378829,0.0004423019,0.000007813001,0.0004753796,0.0001290467,0.00001606318,0.0002474765,0.04073646,0.0002598511,0.00001653625,0.9559827,0.0003075499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007909983,0.00002755485,0.3654394,0.0000417693,0.000223001,0.003141489,0.0001698984,0.0005563159,0.6296096],"genre_scores_gemma":[0.006110441,0.00006159946,0.09121301,0.00002860238,0.0003654782,0.000005374794,0.002968359,0.0005716259,0.8986755],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2742263,"threshold_uncertainty_score":0.8954048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006540942222466515,"score_gpt":0.1769048144983953,"score_spread":0.1703638722759288,"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."}}