{"id":"W3122978469","doi":"10.1184/r1/6703373","title":"A User's Guide to Solving Dynamic Stochastic Games Using the Homotopy Method","year":2018,"lang":"en","type":"preprint","venue":"Scholarly Commons (University of Pennsylvania)","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Northwestern University; National Science Foundation","keywords":"Homotopy analysis method; Homotopy; Mathematical optimization; Computer science; Mathematics; Homotopy perturbation method; Applied mathematics; Mathematical economics; Pure mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001456788,0.002355072,0.002170112,0.002921648,0.0007647,0.00158605,0.002995449,0.002034318,0.2723121],"category_scores_gemma":[0.008079704,0.001501952,0.001893582,0.002747652,0.0008344861,0.002804399,0.002411215,0.004263679,0.1290239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006826463,"about_ca_system_score_gemma":0.001638816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00214063,"about_ca_topic_score_gemma":0.004397724,"domain_scores_codex":[0.9991762,0.0001857632,0.0001120329,0.0001101003,0.0003604147,0.000055375],"domain_scores_gemma":[0.9957007,0.002711264,0.00009089069,0.0004156326,0.0009186107,0.0001629457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009718224,0.0002780002,0.0004403408,0.001159188,0.00007121466,0.0007023743,0.0002420247,0.008493314,0.004712681,0.07441792,0.6346105,0.2747752],"study_design_scores_gemma":[0.000135087,0.00005044934,0.0005069945,0.0003159402,0.00001736293,0.000830552,0.00007608381,0.03139917,0.002118999,0.138155,0.826306,0.00008839236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006915941,0.00201239,0.8912473,0.001141895,0.0007110034,0.0005345637,0.007811036,0.03161997,0.0642302],"genre_scores_gemma":[0.00666257,0.002139692,0.9159499,0.001233997,0.0003805458,0.001303471,0.005228814,0.01335773,0.05374341],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2723121,"threshold_uncertainty_score":0.9109747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958726106528403,"score_gpt":0.2669431202978317,"score_spread":0.2273558592325477,"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."}}