{"id":"W2152434446","doi":"10.1145/1151454.1151502","title":"Enabling intelligent B-to-B eCommerce supply chain management using RFID and the EPC network","year":2006,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Supply chain; Business process; Supply chain management; Context (archaeology); Process (computing); Computer science; Process management; Supply chain network; Information sharing; Business networking; Service management; Business; Work in process; Electronic business; Business model; Marketing; World Wide Web; Operating system","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":[0.001501981,0.0004950249,0.0002478883,0.0009623794,0.0006359342,0.002430451,0.0006690335,0.001342669,0.002647473],"category_scores_gemma":[0.005020306,0.0002434605,0.0002223583,0.001430908,0.0007255794,0.005529485,0.001938021,0.0006980068,0.0006592262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005156642,"about_ca_system_score_gemma":0.0005798446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252846,"about_ca_topic_score_gemma":0.0007212081,"domain_scores_codex":[0.9986972,0.0006682054,0.00006909372,0.0001415624,0.0002763038,0.0001476178],"domain_scores_gemma":[0.9970282,0.001732929,0.0004085312,0.0003643813,0.0003560141,0.0001100652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001227011,0.0006004397,0.02279146,0.000627927,0.00007893967,0.002014587,0.001701178,0.07584501,0.09658914,0.1531633,0.00282896,0.6425321],"study_design_scores_gemma":[0.0002994966,0.001496279,0.02161416,0.0004019952,0.0002688993,0.002822113,0.002604163,0.6393769,0.1036728,0.1264382,0.1007954,0.0002096825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3944083,0.001177144,0.5380677,0.001127595,0.00008461601,0.0002976279,0.00008671181,0.001143492,0.06360675],"genre_scores_gemma":[0.9298757,0.0004992523,0.06688561,0.0001140941,0.00002884342,0.0000885824,0.00006828921,0.00002499353,0.002414684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002647473,"threshold_uncertainty_score":0.008856654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007837828315766507,"score_gpt":0.2128016525106758,"score_spread":0.2049638241949092,"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."}}