{"id":"W1598789001","doi":"10.3938/jkps.53.3837","title":"Statistical Investigation of Connected Structures of Stock Networks in a Financial Time Series","year":2008,"lang":"en","type":"preprint","venue":"Journal of the Korean Physical Society","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Econometrics; Stock market; Stock market index; Variables; Statistics; Economics; Financial economics; Mathematics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001824899,0.0003001727,0.0003501879,0.004498906,0.0004225109,0.0007531928,0.0004514899,0.0004694148,0.001112817],"category_scores_gemma":[0.01802062,0.000216202,0.0004796736,0.002713657,0.0008071456,0.001581241,0.0004687515,0.0004967627,0.0001068637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005356912,"about_ca_system_score_gemma":0.000306508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002451464,"about_ca_topic_score_gemma":0.001933258,"domain_scores_codex":[0.9993103,0.0003051803,0.00004532368,0.000163003,0.0001178126,0.0000585272],"domain_scores_gemma":[0.9806501,0.01409564,0.003066671,0.0007682043,0.0009617095,0.0004576764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003458362,0.0001522365,0.6022297,0.0003142379,0.0009830772,0.0008323432,0.001375214,0.2621679,0.007368383,0.05325178,0.001161227,0.0698181],"study_design_scores_gemma":[0.00001404452,0.000109726,0.3330821,0.00004726024,0.0001345995,0.0003426987,0.0004885729,0.6301153,0.001656416,0.0327961,0.001167771,0.00004539519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550591,0.0004348283,0.04271321,0.0002122011,0.0000112284,0.00002947496,0.0003691248,0.00007257672,0.001098221],"genre_scores_gemma":[0.9949723,0.0001785493,0.004246647,0.000009926913,0.00001658739,0.00002025133,0.0003529888,0.00000730037,0.0001953974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004498906,"threshold_uncertainty_score":0.009651124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009350151320491515,"score_gpt":0.2457243093499499,"score_spread":0.2363741580294584,"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."}}