{"id":"W7018210534","doi":"","title":"Comparative Study among ARIMA, SARIMA & XGBoost for Prediction of NIFTY IT Index","year":2024,"lang":"en","type":"other","venue":"eSource (Dublin Business School)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Autoregressive integrated moving average; Stock market index; Time series; Series (stratigraphy); Futures studies","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001290138,0.001488207,0.002467815,0.002922912,0.000175527,0.0004927393,0.001234399,0.001092862,0.003424527],"category_scores_gemma":[0.0006192746,0.001445509,0.0004422898,0.003521879,0.0005913371,0.000458737,0.0005069192,0.001364793,0.005991993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005652131,"about_ca_system_score_gemma":0.0006109275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002931447,"about_ca_topic_score_gemma":0.003119567,"domain_scores_codex":[0.9934307,0.0003654789,0.001603262,0.00200948,0.001650022,0.000941105],"domain_scores_gemma":[0.9944935,0.0001953938,0.001819962,0.001832434,0.001271617,0.0003870374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005582758,0.001645638,0.03437447,0.001233023,0.001682098,0.00002620596,0.001417733,0.0006997479,0.0001409955,0.00008723146,0.9580431,0.0000914796],"study_design_scores_gemma":[0.006543089,0.0004613257,0.2135933,0.003323347,0.002053279,0.00001729603,0.005440173,0.002552398,0.00005966261,0.0002122487,0.7639905,0.001753348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06913583,0.007510448,0.006685624,0.0004880221,0.007406793,0.02738315,0.02959497,0.006508355,0.8452868],"genre_scores_gemma":[0.427251,0.00001802979,0.0004922174,0.00006560456,0.002942016,0.001154618,0.002113964,0.003658145,0.5623044],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3581151,"threshold_uncertainty_score":0.9997867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04248665279095414,"score_gpt":0.3041340974002468,"score_spread":0.2616474446092926,"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."}}