{"id":"W4403537148","doi":"10.2139/ssrn.4992077","title":"Machine Learning-Based Prediction of Mini Flash Crashes","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Flash (photography); Computer science; Machine learning; Artificial intelligence; Art","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":[0.0007148672,0.0007282062,0.0006758805,0.001433635,0.0002276305,0.0005393007,0.0007384786,0.0007540538,0.001513878],"category_scores_gemma":[0.003604363,0.0002396222,0.0003972191,0.0006180766,0.0001980474,0.0006650806,0.0004105254,0.0007425266,0.0006542625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005191744,"about_ca_system_score_gemma":0.0005246261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048255,"about_ca_topic_score_gemma":0.008236309,"domain_scores_codex":[0.9997851,0.00004175648,0.00001805775,0.00007251731,0.00003613653,0.00004638555],"domain_scores_gemma":[0.9973838,0.001636132,0.0002484445,0.0001171441,0.0004806229,0.0001339004],"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":[0.0009644054,0.0005766482,0.1351021,0.00008268931,0.0001253523,0.0002016908,0.00003821428,0.7769514,0.001993427,0.0005629489,0.003110931,0.08029007],"study_design_scores_gemma":[0.000004761455,0.00003714038,0.007988224,0.000003496212,0.00000584403,0.00001204791,0.000008929338,0.9911219,0.0003445464,0.000416526,0.00005329107,0.00000319079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729475,0.0005009519,0.02333945,0.0002910249,0.00008530305,0.00002793259,0.001270679,0.0004239551,0.00111331],"genre_scores_gemma":[0.9969073,0.00007380353,0.001427984,0.00001259144,0.00002579975,0.000009131647,0.0009106778,0.000008381085,0.0006243488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01048255,"threshold_uncertainty_score":0.02084309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005198393377737983,"score_gpt":0.1968717113061786,"score_spread":0.1916733179284407,"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."}}