{"id":"W2890357351","doi":"10.15381/pc.v23i1.15102","title":"Modelo Computacional Aplicado al Comportamiento de Agentes Financieros Mediante Autómatas Celulares (Cell-DEVS)","year":2018,"lang":"es","type":"article","venue":"Pensamiento Crítico","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Physics","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":[0.0005372982,0.0005540749,0.0007943632,0.0003436428,0.000524143,0.001720414,0.001010086,0.001187023,0.006103281],"category_scores_gemma":[0.002587241,0.0003307207,0.0008115469,0.0003957406,0.0008752596,0.001019609,0.0008563864,0.001144195,0.0006617113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009849286,"about_ca_system_score_gemma":0.001337274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155554,"about_ca_topic_score_gemma":0.005629401,"domain_scores_codex":[0.9996921,0.0001040162,0.00001854779,0.00007588961,0.00006419946,0.00004517715],"domain_scores_gemma":[0.999047,0.0005542659,0.00007729288,0.00007300614,0.0001943645,0.00005405023],"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":[0.00005004867,0.00001812256,0.0009327221,0.00004308799,0.00002384743,0.00007694286,0.00007052154,0.9539837,0.001432223,0.03780141,0.0003329384,0.005234415],"study_design_scores_gemma":[0.00001115072,0.00001367472,0.00006907753,0.000005989938,0.00000851415,0.00001295093,0.00001562293,0.9902209,0.0005552222,0.008057973,0.001024792,0.000004118839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1272397,0.0005574245,0.8516563,0.000822974,0.0002296541,0.00009137991,0.0005577736,0.0006958576,0.01814882],"genre_scores_gemma":[0.8991899,0.0005439305,0.08239913,0.0001510136,0.000050121,0.0002845512,0.0003034195,0.0001122457,0.01696556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01155554,"threshold_uncertainty_score":0.02297652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368661459507706,"score_gpt":0.2455266812305457,"score_spread":0.2118400666354687,"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."}}