{"id":"W3212848769","doi":"10.47611/jsrhs.v10i3.1775","title":"How is economic growth correlated to index growth?","year":2021,"lang":"en","type":"article","venue":"Journal of Student Research","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Consumer confidence index; Index (typography); Stock market; Economics; Gross domestic product; Econometrics; Correlation coefficient; Stock market index; Stock (firearms); Statistics; Mathematics; Macroeconomics; Geography; Computer science","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":[0.002127763,0.000378476,0.0006670598,0.003107262,0.0003959602,0.003229761,0.0004386356,0.0009779214,0.00479673],"category_scores_gemma":[0.01745698,0.0002866214,0.0006697417,0.004931373,0.001886579,0.0024636,0.001001291,0.001522211,0.001611628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006208023,"about_ca_system_score_gemma":0.0008429254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004274885,"about_ca_topic_score_gemma":0.002720063,"domain_scores_codex":[0.9980895,0.0005408035,0.0001766666,0.0005831297,0.0002979429,0.0003119325],"domain_scores_gemma":[0.9829209,0.007569882,0.005407393,0.00105404,0.001969068,0.001078631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000715405,0.00005998745,0.9671801,0.00008919174,0.0003197899,0.0002441894,0.0002963533,0.001069175,0.0002584132,0.004772757,0.002047237,0.02359142],"study_design_scores_gemma":[0.000008673622,0.00008818984,0.9787036,0.0001146588,0.0001646716,0.0002933061,0.001208451,0.003015072,0.0004237535,0.01104918,0.00488651,0.00004397106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9300621,0.01068421,0.006915108,0.0119718,0.0006719508,0.00006437069,0.001876182,0.0001500059,0.03760431],"genre_scores_gemma":[0.994195,0.002159949,0.0004855247,0.0004711009,0.0003570539,0.00001427508,0.0007082517,0.00003133831,0.001577334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00479673,"threshold_uncertainty_score":0.0160467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121007539303482,"score_gpt":0.3424657317802274,"score_spread":0.2214581924767454,"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."}}