{"id":"W4382280617","doi":"10.1007/978-3-031-30347-0","title":"Supply Chain Analytics","year":2023,"lang":"en","type":"book","venue":"Springer texts in business and economics","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"York University","keywords":"Supply chain; Analytics; Computer science; Data science; Risk analysis (engineering); Business; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004734274,0.0005136149,0.000677764,0.001263163,0.0001489779,0.000581209,0.0004811928,0.0003283767,0.0002089667],"category_scores_gemma":[0.00005049272,0.0005228505,0.000109298,0.0004164065,0.0001506396,0.0006411938,0.0007987141,0.0003190618,0.000891552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001906796,"about_ca_system_score_gemma":0.0001020836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004601196,"about_ca_topic_score_gemma":0.002402665,"domain_scores_codex":[0.9978755,0.000003840734,0.0006219984,0.0007889691,0.0001409696,0.0005687432],"domain_scores_gemma":[0.9989293,0.00006049254,0.0003771699,0.0005199604,0.00008806575,0.00002506537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001509296,0.0002791074,0.0911829,0.005880586,0.0004404371,0.0005145605,0.0002116863,0.02403976,0.000003294597,0.549504,0.1659392,0.1618535],"study_design_scores_gemma":[0.0006426012,0.000004931356,0.06365687,0.0004518601,0.0001071859,0.000002011456,0.0001033439,0.008782434,4.979926e-7,0.04107621,0.8841926,0.0009794316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0767004,0.001718622,0.0001440264,0.005448211,0.00663365,0.001987656,0.00006155755,0.0006725499,0.9066333],"genre_scores_gemma":[0.02858382,0.01489314,0.000152783,0.002860186,0.006511139,0.0001151143,0.0004319789,0.0004165762,0.9460353],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7182534,"threshold_uncertainty_score":0.9998864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165892757794557,"score_gpt":0.2095389687917383,"score_spread":0.1929496930122825,"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."}}