{"id":"W4254420891","doi":"10.6028/nist.ir.6703","title":"Management data specification for supply chain integration","year":2001,"lang":"en","type":"report","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"National Institute of Standards and Technology","keywords":"Supply chain; Supply chain management; Computer science; Business; Marketing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00139937,0.0004142904,0.0004966371,0.0008108566,0.0002330592,0.0007526616,0.001073723,0.0002468639,0.0005370097],"category_scores_gemma":[0.0001825097,0.0003572767,0.0001695323,0.0008129383,0.0000291634,0.001261316,0.0004343535,0.0001394936,0.000221899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141103,"about_ca_system_score_gemma":0.0000894623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001875217,"about_ca_topic_score_gemma":0.0005761555,"domain_scores_codex":[0.9970824,0.000004396418,0.0007088973,0.001039,0.0008216107,0.0003437515],"domain_scores_gemma":[0.9965234,0.00002383042,0.0006944357,0.001412875,0.001333625,0.00001176941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002975496,0.0001419233,0.0002481648,0.001857417,0.0002422393,0.000008629636,0.000004531926,0.0001889562,0.000006793035,0.008064878,0.4832155,0.5059912],"study_design_scores_gemma":[0.00024224,0.000002062505,0.000194552,0.000286881,0.0008080506,0.000001912608,0.0001491342,0.1087262,0.000002906178,0.002718448,0.8864164,0.0004512238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00005921394,0.0006768337,0.5635991,0.003614769,0.001471151,0.001035224,0.00008661615,0.00044448,0.4290126],"genre_scores_gemma":[0.2814824,0.01891064,0.02513323,0.002999124,0.04820148,0.001293747,0.1887515,0.000682724,0.4325451],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5384659,"threshold_uncertainty_score":0.9998879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1326966647288039,"score_gpt":0.315525013847495,"score_spread":0.1828283491186912,"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."}}