{"id":"W3151783125","doi":"10.2139/ssrn.3106501","title":"Factor Models for Binary Financial Data","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Factor (programming language); Binary data; Business; Binary number; Finance; Economics; Computer science; Mathematics; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.00161586,0.0001313731,0.0003115103,0.0001771966,0.0001365064,0.00008025738,0.0007939503,0.00008562345,0.00005791828],"category_scores_gemma":[0.0002553994,0.0001326646,0.0001177616,0.0001814782,0.00002168025,0.0007501605,0.0001177969,0.0005442442,0.0001612467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003640117,"about_ca_system_score_gemma":0.0008650718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004385212,"about_ca_topic_score_gemma":0.000774296,"domain_scores_codex":[0.9978974,0.00001341155,0.0004446534,0.0003356744,0.00005421907,0.001254664],"domain_scores_gemma":[0.9990406,0.00002831511,0.0002694289,0.0004710791,0.00005865088,0.0001319032],"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":[0.0001440777,0.0001203114,0.004399586,0.000007850456,0.0002741903,0.000002967325,0.0002118119,0.001022796,0.000007057901,0.9729425,0.007388019,0.01347881],"study_design_scores_gemma":[0.0007879495,0.0002353633,0.0002270976,0.000003255574,0.00002120525,0.0000307324,0.0001415678,0.04642348,0.000002644976,0.9045775,0.04734311,0.0002060727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0971547,0.02208033,0.8703049,0.002267325,0.001219726,0.0003228198,0.003238135,0.00005269864,0.003359335],"genre_scores_gemma":[0.9941028,0.002344832,0.0007162298,0.0001822073,0.0008028358,0.00000755844,0.0003555742,0.00002549377,0.00146243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8969482,"threshold_uncertainty_score":0.5409907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397547872207674,"score_gpt":0.2669227492218704,"score_spread":0.127167962001103,"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."}}