{"id":"W4389254345","doi":"10.2139/ssrn.4642040","title":"Functional motif discovery in stock market prices","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Motif (music); Stock (firearms); Stock market; Business; Financial economics; Economics; Biology; Geography; 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":[0.001262465,0.0004636982,0.0008398276,0.003096155,0.0004476676,0.001274922,0.001030876,0.001094768,0.00240992],"category_scores_gemma":[0.00672975,0.0003071457,0.001092822,0.002241593,0.0003158892,0.001169658,0.0007836571,0.0009206692,0.0008371055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003380716,"about_ca_system_score_gemma":0.000573466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131889,"about_ca_topic_score_gemma":0.002201902,"domain_scores_codex":[0.9992768,0.0002244692,0.00005332393,0.0002111977,0.0001574677,0.00007668832],"domain_scores_gemma":[0.9976196,0.001562921,0.0002734177,0.0001728057,0.0002650434,0.0001061713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001782259,0.001018647,0.163837,0.001939241,0.001728162,0.001258569,0.0003801787,0.1086187,0.05935428,0.03644558,0.01234835,0.611289],"study_design_scores_gemma":[0.00007891976,0.0002499488,0.01790797,0.000107668,0.0002964198,0.0004611744,0.0001254718,0.9202964,0.00681871,0.04995931,0.003661517,0.00003643035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7274961,0.005472249,0.2562563,0.0008907666,0.0002273964,0.0001074399,0.003714758,0.001941917,0.00389327],"genre_scores_gemma":[0.9333022,0.0008347679,0.05998745,0.0001611968,0.0001388204,0.0000735754,0.004068994,0.0001053796,0.001327656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003096155,"threshold_uncertainty_score":0.008062065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0763239317626263,"score_gpt":0.3689257668901643,"score_spread":0.292601835127538,"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."}}