{"id":"W2801610679","doi":"10.1145/3194188.3194205","title":"Adaptive Supply Chain Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Mitacs","keywords":"Supply chain; Computer science; Measure (data warehouse); Information sharing; Big data; Supply chain management; Internet of Things; The Internet; Data science; Industrial engineering; Data mining; Computer security; Business; World Wide Web; Engineering; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002348364,0.00008019441,0.00009129249,0.00005735919,0.0001378363,0.0001484748,0.0005437477,0.00003368111,0.000005980054],"category_scores_gemma":[0.00001019321,0.00006492645,0.000027723,0.0002306441,0.00003784936,0.0002041119,0.0002384183,0.00005435131,0.0007159732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002343753,"about_ca_system_score_gemma":0.00003421773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001311169,"about_ca_topic_score_gemma":0.000002269007,"domain_scores_codex":[0.9992017,0.00003523459,0.0001207001,0.0002360629,0.0001432756,0.0002629824],"domain_scores_gemma":[0.9994478,0.00004522779,0.00003377307,0.000316541,0.00009168649,0.00006498964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001108194,0.00008177693,0.001957325,0.00002033835,0.00004821602,0.00004042735,0.005680591,0.00003847204,0.0006983033,0.4302895,0.4522745,0.1088595],"study_design_scores_gemma":[0.0002036695,0.0002624354,0.001523929,0.00003453611,0.000002005087,0.00003420094,0.00007077771,0.9121894,0.001520975,0.001405665,0.08249504,0.0002574077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007492116,0.00006162847,0.8888537,0.0003381498,0.01447085,0.00009711507,4.850457e-8,0.0003250097,0.08836143],"genre_scores_gemma":[0.9679413,7.042507e-7,0.02254837,0.0003161582,0.004884146,0.000003632174,3.201925e-7,0.000006068256,0.004299335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9604492,"threshold_uncertainty_score":0.9202626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209177395314824,"score_gpt":0.2276618024384145,"score_spread":0.2067440629069321,"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."}}