{"id":"W3124649690","doi":"10.1287/mnsc.2020.3801","title":"Inventory in Times of War","year":2021,"lang":"en","type":"article","venue":"Management Science","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Spanish Civil War; Position (finance); Business; Distribution (mathematics); Government (linguistics); Supply chain; Cash; Economics; Finance; Marketing; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005431214,0.00005260048,0.0001439313,0.0002708302,0.00005459891,0.00001037164,0.0002178582,0.0000108767,0.0002342303],"category_scores_gemma":[0.0000589341,0.0000611433,0.00003240896,0.0007290217,0.0002077858,0.0001298277,0.0001927139,0.00003020687,0.0002023974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004312282,"about_ca_system_score_gemma":0.000009075025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001414564,"about_ca_topic_score_gemma":0.00006135069,"domain_scores_codex":[0.9992539,0.000004911472,0.0002431546,0.0002592613,0.0000473521,0.0001913769],"domain_scores_gemma":[0.9996502,0.000009803687,0.00006037149,0.0002393317,0.00001451597,0.00002571517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001787817,0.00006843008,0.1640269,0.00006433105,0.00001341018,0.00001225952,0.001101707,0.00007357507,0.00001017796,0.8298714,0.00376208,0.00099392],"study_design_scores_gemma":[0.0005583276,0.00003998645,0.6086499,0.00004639398,0.000005465211,0.000001117737,0.001986019,0.001275544,0.0004860475,0.2106735,0.1759772,0.0003005264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2117023,0.003761656,0.00005571473,0.0007498846,0.0003115453,0.00007871216,0.000009397065,0.00001019427,0.7833205],"genre_scores_gemma":[0.9918226,0.0006246659,0.0004886449,0.0003241308,0.00001382797,0.000006038918,7.612692e-7,0.000003012871,0.006716311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7801203,"threshold_uncertainty_score":0.2601477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660718773691913,"score_gpt":0.2405377803241086,"score_spread":0.2039305925871895,"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."}}