{"id":"W2998667917","doi":"10.6000/1929-7092.2019.08.122","title":"Demand Planning Information Sharing: N ZAR","year":2019,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"European Monetary and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008243506,0.0003916944,0.0003668369,0.001896055,0.002133427,0.007424534,0.001281893,0.001157517,0.006806777],"category_scores_gemma":[0.01981932,0.0003229487,0.0005046694,0.003543955,0.001361401,0.009840523,0.005341447,0.0009899127,0.0008541503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003328225,"about_ca_system_score_gemma":0.005380559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00387644,"about_ca_topic_score_gemma":0.003615756,"domain_scores_codex":[0.9880896,0.006288998,0.0007206924,0.0008435605,0.003106701,0.0009505182],"domain_scores_gemma":[0.9809715,0.008180448,0.003724741,0.003246465,0.002676406,0.001200528],"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":[0.0003310963,0.0006051182,0.1034608,0.00138088,0.0001971699,0.001307505,0.06296203,0.004992133,0.005933579,0.04895905,0.01718686,0.7526838],"study_design_scores_gemma":[0.00008392082,0.001180034,0.2129546,0.002444978,0.0003316329,0.002393476,0.2548637,0.02778834,0.01126421,0.06758864,0.4188036,0.0003029573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6561137,0.001979679,0.06746159,0.01977924,0.0002282284,0.0007356998,0.000579992,0.0006572966,0.2524645],"genre_scores_gemma":[0.9844467,0.0004978122,0.00937119,0.00039755,0.00006468921,0.00006683675,0.0002578939,0.00003398751,0.004863373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008243506,"threshold_uncertainty_score":0.04359633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04086655816787785,"score_gpt":0.2404058183159559,"score_spread":0.199539260148078,"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."}}