{"id":"W7104444208","doi":"10.71781/20766","title":"Essays in econometrics and machine learning","year":2025,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada","keywords":"Ligne; Margin (machine learning); Dimension (graph theory)","routes":{"ca_aff":false,"ca_fund":true,"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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009659703,0.000204967,0.000560267,0.001677825,0.0001212962,0.0009599971,0.001233257,0.0002406854,0.005073258],"category_scores_gemma":[0.02810187,0.0001797302,0.00005699447,0.001953867,0.00001921932,0.000235713,0.0003799068,0.0005484496,0.000144303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005527814,"about_ca_system_score_gemma":0.0002292678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000193927,"about_ca_topic_score_gemma":0.002840779,"domain_scores_codex":[0.997221,0.0005411991,0.0007435153,0.0008214631,0.0004617492,0.0002110683],"domain_scores_gemma":[0.9936584,0.005296528,0.0004599923,0.0003780628,0.0001366559,0.00007042391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006464549,0.00001357022,0.01430631,0.00000736946,0.000007781647,0.000008097147,0.0004951698,0.000046351,0.000004900099,0.0000287263,0.0002475279,0.9847695],"study_design_scores_gemma":[0.001892507,0.0002020167,0.1742744,0.0006758212,0.00009330421,0.0000146778,0.004935649,0.01900313,0.0007594448,0.02619966,0.7707544,0.001194966],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3369247,0.0007043474,0.0001919647,0.00004640096,0.0006918194,0.0003740996,0.00002385435,0.000001336324,0.6610414],"genre_scores_gemma":[0.09830771,0.0001354371,0.09015029,0.0000310073,0.00006885293,0.00008124968,0.0003258552,0.00004048115,0.8108591],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9835746,"threshold_uncertainty_score":0.9958363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2563565172425751,"score_gpt":0.4574913789260509,"score_spread":0.2011348616834758,"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."}}