{"id":"W2176617419","doi":"10.2849/9466","title":"Catering to Investors Through Product Complexity","year":2016,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Toulouse School of Economics","keywords":"Headline; Product (mathematics); Yield (engineering); Investment (military); Business; Economics; Monetary economics; Financial economics; Advertising","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":[0.0005329371,0.0003986363,0.0007203466,0.0002828739,0.0002824868,0.0001223523,0.0004806132,0.0001259419,0.00277169],"category_scores_gemma":[0.0002995591,0.000365136,0.0001910831,0.0002789141,0.0005422783,0.0009511195,0.0001725684,0.0001532622,0.004551013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004585778,"about_ca_system_score_gemma":0.0001175226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004664824,"about_ca_topic_score_gemma":0.0002053812,"domain_scores_codex":[0.9972335,0.00003387969,0.0009551485,0.0009807046,0.00006625887,0.0007305653],"domain_scores_gemma":[0.9984519,0.00007762967,0.0003948257,0.0007741058,0.0000515748,0.0002499134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002183394,0.00006631405,0.4927357,0.00002950632,0.00004352314,0.000006024722,0.0003356419,0.000002050432,0.000357554,0.4868807,0.01914574,0.0003753168],"study_design_scores_gemma":[0.0007859942,0.0001951861,0.473113,0.0001028473,0.000008934651,0.00002489231,0.0000694619,0.000009892227,0.001420244,0.1014198,0.4218879,0.0009618658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8425726,0.000927005,0.0006740741,0.003903696,0.002734817,0.00045678,0.0002680774,0.0001710829,0.1482919],"genre_scores_gemma":[0.9886402,0.0001554888,0.002845841,0.001583392,0.0005402823,0.00010413,0.000008498162,0.00006145593,0.006060673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4027422,"threshold_uncertainty_score":0.9998801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06177116988336003,"score_gpt":0.2370223177204962,"score_spread":0.1752511478371362,"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."}}