{"id":"W2086950964","doi":"10.3386/w16454","title":"Decoding Inside Information","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Decoding methods; Computer science; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006773633,0.0002264785,0.0006629149,0.001750279,0.0001816366,0.000207414,0.0005459495,0.0006531582,0.001897488],"category_scores_gemma":[0.00263848,0.0002691218,0.0002148859,0.0002172431,0.0002702886,0.001045201,0.000178856,0.001091317,0.001731447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302801,"about_ca_system_score_gemma":0.002230055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003444904,"about_ca_topic_score_gemma":0.0002574948,"domain_scores_codex":[0.9971637,0.00003043524,0.001571639,0.0004019646,0.0004034192,0.0004289009],"domain_scores_gemma":[0.9971388,0.0003576425,0.001013745,0.0003624054,0.001030477,0.00009690323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001472085,0.00002697885,0.001483465,0.0001392079,0.00005861881,5.307924e-7,0.00004961681,0.00003162887,0.00000633021,0.9064121,0.09057815,0.001198632],"study_design_scores_gemma":[0.0001917559,0.00004692576,0.002762288,0.00004052144,0.000001992805,0.000004409923,0.00001940195,0.0002700824,0.00003845076,0.5851645,0.4112711,0.0001885316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003206962,0.0008550151,0.00001654809,0.0005050279,0.001672718,0.0004008505,0.0004679176,0.00001936271,0.9928556],"genre_scores_gemma":[0.9767237,0.006301896,0.001243086,0.0001564632,0.002109077,0.0002189002,0.001615828,0.00007713091,0.01155391],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9813017,"threshold_uncertainty_score":0.9999761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3815532230493952,"score_gpt":0.455063875115755,"score_spread":0.07351065206635987,"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."}}