{"id":"W4231029150","doi":"10.1111/jofi.12192","title":"FRONT MATTER","year":2014,"lang":"en","type":"paratext","venue":"The Journal of Finance","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Los Angeles; European Society for Clinical Nutrition and Metabolism; University of Illinois at Urbana-Champaign; University of Toronto; University of Pennsylvania; York University; Harvard University; Northwestern University; Princeton University","keywords":"Front (military); Citation; Computer science; World Wide Web; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005404758,0.001309845,0.0008988484,0.001313535,0.001501202,0.00558173,0.00112194,0.0035522,0.9653144],"category_scores_gemma":[0.002626999,0.0003444589,0.0005032003,0.001007518,0.0009520429,0.003250041,0.001901325,0.002161948,0.9559169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187901,"about_ca_system_score_gemma":0.001410639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002648413,"about_ca_topic_score_gemma":0.003411524,"domain_scores_codex":[0.99951,0.00003867643,0.00002443231,0.0001374553,0.000180202,0.0001092203],"domain_scores_gemma":[0.9985256,0.0001992045,0.00009371943,0.00009347646,0.0003784272,0.0007097246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003643802,0.00002475521,0.000164897,0.0001274155,0.000002553682,0.00006238047,0.00001922032,0.00005106469,0.0002082538,0.002344437,0.9163699,0.08058869],"study_design_scores_gemma":[0.000009901292,0.000009342252,0.0002872518,0.0001302899,0.000001223789,0.00007979647,0.00003378511,0.00004281735,0.00008481006,0.0005351052,0.998782,0.000003597729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003456258,0.0008442287,0.000294186,0.003666209,0.00263429,0.00004491539,0.003010283,0.0007776962,0.9883825],"genre_scores_gemma":[0.001289836,0.0006596522,0.0001532017,0.001217954,0.0004462653,0.0000176244,0.001270186,0.0002248419,0.9947205],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03468561,"threshold_uncertainty_score":0.04947472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295805158883023,"score_gpt":0.2057052233815519,"score_spread":0.1761247074932496,"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."}}