{"id":"W3040926438","doi":"10.3390/jrfm13070153","title":"From Big Data to Econophysics and Its Use to Explain Complex Phenomena","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Econophysics; Big data; Complex system; Field (mathematics); Complex network; Computer science; Data science; Linkage (software); Statistical physics; Neoclassical economics; Economics; Mathematics; Data mining; Artificial intelligence; Physics; Biology","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":[0.003409764,0.0008954066,0.0009248829,0.004966383,0.0009270289,0.005957978,0.001106585,0.001966732,0.003624856],"category_scores_gemma":[0.0128124,0.0004409092,0.0006424375,0.005971005,0.003909422,0.00908287,0.003043234,0.004325276,0.0006594553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548117,"about_ca_system_score_gemma":0.001556034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503722,"about_ca_topic_score_gemma":0.001281165,"domain_scores_codex":[0.9979833,0.0009626749,0.000115852,0.0002342226,0.0006324946,0.00007147005],"domain_scores_gemma":[0.9895607,0.008257234,0.0004898999,0.0007314199,0.000649762,0.000311029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005967011,0.00005469072,0.004385072,0.001877276,0.0001419081,0.0003468424,0.0006715878,0.007949819,0.0004864087,0.8626737,0.02121872,0.1001342],"study_design_scores_gemma":[0.000008264738,0.00003171666,0.002254263,0.001100688,0.0000337134,0.0002140192,0.0006126295,0.01415719,0.0004090917,0.8780726,0.1030611,0.00004475099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02697088,0.313798,0.4760856,0.1050789,0.008249758,0.00021781,0.003999007,0.0006343274,0.06496569],"genre_scores_gemma":[0.4449459,0.3511303,0.1658671,0.01159191,0.01444239,0.000435321,0.002319672,0.0003355248,0.008931804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005957978,"threshold_uncertainty_score":0.01803273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116388281553569,"score_gpt":0.2278498160355919,"score_spread":0.1114615344820229,"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."}}