{"id":"W2992360793","doi":"","title":"Collaborative Forecasting: Goodyear Tire & Rubber Company's Journey","year":2004,"lang":"en","type":"article","venue":"The Journal of Business Forecasting Methods & Systems","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Negotiation; Demand forecasting; Production (economics); Distribution (mathematics); Process (computing); Marketing; Operations research; Engineering; Business; Operations management; Computer science; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01455118,0.001500512,0.0008794017,0.002740706,0.00672954,0.01331603,0.002681238,0.00549662,0.01650018],"category_scores_gemma":[0.01985474,0.0008012334,0.0009212396,0.005090538,0.001855411,0.0116601,0.006568396,0.009803025,0.00921061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005512828,"about_ca_system_score_gemma":0.0272833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05122825,"about_ca_topic_score_gemma":0.04403211,"domain_scores_codex":[0.991916,0.001353227,0.0004184218,0.00124806,0.003714431,0.001349792],"domain_scores_gemma":[0.9760886,0.003636985,0.001079791,0.001494176,0.005117023,0.01258341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003445155,0.0001555205,0.001425595,0.0001241867,0.0000188041,0.0003692098,0.002519902,0.001436139,0.000365406,0.01656137,0.7455552,0.2314341],"study_design_scores_gemma":[0.000007648402,0.00006095481,0.001081464,0.0002493471,0.000006263871,0.0002803736,0.002032313,0.002337311,0.0002239027,0.009100378,0.9845629,0.00005712418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01345855,0.07112072,0.03036141,0.7293644,0.02177447,0.0001413408,0.00165579,0.002101559,0.1300218],"genre_scores_gemma":[0.2046207,0.1391946,0.1752352,0.07601117,0.02403278,0.0003372323,0.005692197,0.002308912,0.3725672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05122825,"threshold_uncertainty_score":0.1018602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2824411372917397,"score_gpt":0.4440060144271958,"score_spread":0.1615648771354561,"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."}}