{"id":"W2065038475","doi":"10.1371/journal.pone.0077254","title":"Synchrony in Broadband Fluctuation and the 2008 Financial Crisis","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Broadband; Financial crisis; Amplitude; Equity (law); Econometrics; Wavelet; Scale (ratio); Statistical physics; Economics; Physics; Computer science; Telecommunications; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002496545,0.00007717031,0.000339068,0.0001142757,0.00006644578,0.0000842341,0.00008739412,0.00004318069,0.001560346],"category_scores_gemma":[0.0001115369,0.00006639129,0.00004727861,0.0002074269,0.00004735113,0.0001631441,0.00003961333,0.00007294504,0.0004527924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002988465,"about_ca_system_score_gemma":0.000006067691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006465521,"about_ca_topic_score_gemma":0.0004012927,"domain_scores_codex":[0.999248,0.00001522374,0.0003632628,0.0001954562,0.00003492032,0.0001431763],"domain_scores_gemma":[0.9995764,0.00004254117,0.0001280414,0.0001959533,0.00002715948,0.00002993512],"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":[0.0001826505,0.001829937,0.35956,0.0004681977,0.001165241,0.000004988787,0.009092746,0.0001405763,0.0004999478,0.5889521,0.03166599,0.006437623],"study_design_scores_gemma":[0.004344503,0.0001120019,0.7727764,0.000094884,0.00008956669,0.000002610912,0.0004654264,0.06899169,0.0001544992,0.1439167,0.008430225,0.0006214622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988302,0.00395359,0.0002120767,0.003878702,0.00003176597,0.0003169075,0.00001501785,0.00001162133,0.003278323],"genre_scores_gemma":[0.9980519,0.0003384449,0.0002768293,0.0001624128,0.00008822245,0.00007127509,0.000004547123,0.000007904702,0.0009984727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4450354,"threshold_uncertainty_score":0.9993523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02688582872662627,"score_gpt":0.1728730342868466,"score_spread":0.1459872055602203,"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."}}