{"id":"W224927237","doi":"","title":"Scenario Analysis for S&OP","year":2012,"lang":"en","type":"article","venue":"˜The œjournal of business forecasting","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scenario analysis; Scenario planning; Leverage (statistics); Risk analysis (engineering); Process management; Context (archaeology); Outcome (game theory); Volatility (finance); Computer science; Operations research; Business; Marketing; Economics; Engineering; Finance; Microeconomics","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":[0.01273108,0.002197604,0.0008024983,0.005347256,0.002003701,0.0106765,0.003075519,0.002853434,0.1478527],"category_scores_gemma":[0.03469542,0.0007858598,0.002023204,0.005355091,0.001527711,0.009385959,0.005786769,0.005240524,0.04116204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005348474,"about_ca_system_score_gemma":0.008814204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006580454,"about_ca_topic_score_gemma":0.00437871,"domain_scores_codex":[0.9926282,0.00392256,0.0006100591,0.0003774973,0.002108901,0.000352641],"domain_scores_gemma":[0.9709231,0.01619445,0.001609791,0.002041691,0.007797078,0.001433975],"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":[0.00009300461,0.00007838304,0.0006505248,0.0009493629,0.00004602381,0.0002684606,0.0005520861,0.02901839,0.0002976687,0.1877406,0.5924162,0.1878893],"study_design_scores_gemma":[0.00002545272,0.00005720591,0.0004100702,0.001410243,0.00001623247,0.00009557674,0.0006715963,0.01694842,0.0002815317,0.07859091,0.9014374,0.00005527934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003428497,0.00765554,0.3095763,0.04673492,0.008003572,0.002943746,0.01548944,0.01541113,0.5907569],"genre_scores_gemma":[0.1563854,0.03151032,0.4914481,0.007053652,0.006211815,0.007762022,0.04226444,0.007580961,0.2497834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1478527,"threshold_uncertainty_score":0.4946164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038338969706187,"score_gpt":0.2165018447014189,"score_spread":0.186118455004357,"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."}}