{"id":"W2577669109","doi":"10.5539/ijef.v9n2p46","title":"Numerical Methods for Differential Games: Capital Structure in an R&D Duopoly","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"East Tennessee State University","keywords":"Duopoly; Differential game; Economics; Mathematical economics; Pecking order; Microeconomics; Valuation (finance); Mathematics; Mathematical optimization; Finance","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":[0.003830962,0.001348026,0.001318711,0.001123849,0.000718024,0.00157236,0.001703635,0.001774317,0.005616802],"category_scores_gemma":[0.0157907,0.0005873658,0.0009904206,0.001266767,0.002018598,0.001835626,0.002107696,0.002486039,0.0007789138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002095722,"about_ca_system_score_gemma":0.001790671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006803116,"about_ca_topic_score_gemma":0.004922534,"domain_scores_codex":[0.9982625,0.001084485,0.00007440348,0.0001358244,0.0003535706,0.00008933802],"domain_scores_gemma":[0.9899771,0.008373033,0.0004991258,0.0003959447,0.0005596932,0.0001950815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005876436,0.0000805243,0.0005838231,0.0001871885,0.000037319,0.00007168621,0.0001264671,0.7392625,0.0007866739,0.233333,0.001110999,0.02436092],"study_design_scores_gemma":[0.00002156695,0.00001438245,0.0000341923,0.00002043067,0.000003982057,0.00001169416,0.00001482418,0.9505267,0.0001429178,0.04765947,0.001543256,0.000006706678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002587726,0.0002801921,0.9928896,0.0002075413,0.00006243202,0.00008082872,0.00003483948,0.00006786316,0.003788939],"genre_scores_gemma":[0.1787041,0.0007847484,0.8125563,0.0003150625,0.0001106694,0.0008910836,0.0001287583,0.0001910313,0.006318169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006803116,"threshold_uncertainty_score":0.02026027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04113072745825701,"score_gpt":0.3233404354377393,"score_spread":0.2822097079794823,"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."}}