{"id":"W2047185702","doi":"","title":"Indeks giełdowy jako wskaźnik wyprzedzający koniunkturę","year":2012,"lang":"pl","type":"article","venue":"RepoS (Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach)","topic":"Polish socio-economic development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Quarter (Canadian coin); Prosperity; Stock market index; Gross domestic product; Economics; Economic indicator; Econometrics; Stock market; Geography; Macroeconomics; Economic growth; Computer science","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":[0.0008693297,0.0006731636,0.0007716204,0.00367666,0.0007692937,0.005374352,0.0004790291,0.0004638806,0.01370525],"category_scores_gemma":[0.002852628,0.0003100641,0.0004926827,0.003390678,0.001554118,0.005214033,0.002033473,0.001685596,0.003049815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080103,"about_ca_system_score_gemma":0.001355875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002286766,"about_ca_topic_score_gemma":0.004015338,"domain_scores_codex":[0.9992387,0.0000767238,0.00009216661,0.0002075858,0.0002662139,0.0001186023],"domain_scores_gemma":[0.9991916,0.0001736506,0.0002251545,0.0001178949,0.0002106045,0.00008120239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007237602,0.0002410366,0.07136227,0.002585982,0.0003947561,0.003444605,0.007389782,0.003456319,0.01295795,0.2333626,0.03756704,0.6265138],"study_design_scores_gemma":[0.00006086306,0.0002360888,0.1636972,0.001172801,0.0003473021,0.005770043,0.008011305,0.003060705,0.01223203,0.1051976,0.7000208,0.0001933796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5569479,0.05126368,0.08687015,0.01590473,0.004477268,0.0003108379,0.007184071,0.0009613733,0.27608],"genre_scores_gemma":[0.8524771,0.03907334,0.03102585,0.001208841,0.001223246,0.0002426682,0.003667881,0.0006391517,0.07044184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01370525,"threshold_uncertainty_score":0.04584867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04788088827247991,"score_gpt":0.230071212761347,"score_spread":0.1821903244888671,"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."}}