{"id":"W4396993769","doi":"10.2139/ssrn.4830848","title":"Optimal Text-Based Time-Series Indices","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Series (stratigraphy); Time series; Computer science; Econometrics; Mathematics; Statistics; Geology","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":[0.002298784,0.001168109,0.001613206,0.003184316,0.0004925733,0.002495663,0.001156583,0.001390974,0.006385848],"category_scores_gemma":[0.01728949,0.0003723293,0.0007958649,0.003112241,0.0005242192,0.003911783,0.001285498,0.00117801,0.002789552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000647817,"about_ca_system_score_gemma":0.001700604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008626896,"about_ca_topic_score_gemma":0.001213595,"domain_scores_codex":[0.9982742,0.0005090632,0.0002478925,0.0003847207,0.000448655,0.0001354516],"domain_scores_gemma":[0.9949092,0.002793669,0.0004185439,0.0005261808,0.001141771,0.0002105813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001853416,0.0005821731,0.003606286,0.0005183352,0.0001689273,0.000122344,0.0001136833,0.1283686,0.02128399,0.03186952,0.01193107,0.7995818],"study_design_scores_gemma":[0.0001158458,0.0003392338,0.002393794,0.00006526595,0.0001080524,0.0001305133,0.00006554995,0.9502791,0.00928542,0.03434363,0.00283575,0.00003781051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06033848,0.001669386,0.9276016,0.0006737888,0.0004139442,0.000188517,0.001587569,0.00148,0.006046803],"genre_scores_gemma":[0.4393763,0.001380214,0.5478516,0.00024286,0.0007007141,0.0003841915,0.003961478,0.0005307295,0.005572],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006385848,"threshold_uncertainty_score":0.02136284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004212325084687087,"score_gpt":0.2491438537777833,"score_spread":0.2449315286930962,"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."}}