{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0118504,0.002866934,0.00382036,0.003703602,0.001104092,0.005417678,0.003497924,0.00402802,0.01856814],"category_scores_gemma":[0.03896344,0.002130857,0.00454645,0.005949755,0.00225387,0.007133823,0.002187717,0.004740246,0.005434977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001973016,"about_ca_system_score_gemma":0.001889364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02725633,"about_ca_topic_score_gemma":0.02243021,"domain_scores_codex":[0.9942902,0.003085383,0.000334753,0.001124689,0.0004338774,0.0007310612],"domain_scores_gemma":[0.962599,0.02960843,0.002900464,0.002787672,0.001497212,0.0006070754],"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":[0.0004841632,0.000252813,0.01154253,0.0005346981,0.0008835861,0.0004493977,0.000704193,0.3182501,0.0005919978,0.5641478,0.01386005,0.08829866],"study_design_scores_gemma":[0.0001240029,0.00007398877,0.002200823,0.00009558455,0.0001752139,0.0001208776,0.0001102687,0.6948934,0.0001668895,0.2974541,0.004511639,0.00007321833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03441549,0.002437372,0.9534808,0.001684808,0.0002671263,0.0001968055,0.003329643,0.001052932,0.003135043],"genre_scores_gemma":[0.6949358,0.008216653,0.2222145,0.0006482076,0.001129181,0.001391643,0.01421862,0.0006790023,0.05656635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02725633,"threshold_uncertainty_score":0.06267166,"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."}}