{"id":"W3182352630","doi":"10.2139/ssrn.3430276","title":"Behavioral Portfolio Insurance Strategies","year":2019,"lang":"de","type":"article","venue":"SSRN Electronic Journal","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Actuarial science; Portfolio; Business; Economics; Finance","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006155652,0.0004599602,0.0006476199,0.0005888171,0.0004540005,0.001447312,0.001369703,0.0003343826,0.0015962],"category_scores_gemma":[0.00009930871,0.0003791108,0.0004351119,0.001254683,0.0001432587,0.002144511,0.0001094955,0.003532542,0.005587007],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007365273,"about_ca_system_score_gemma":0.01075493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001976057,"about_ca_topic_score_gemma":0.0003059576,"domain_scores_codex":[0.9914779,0.0003727342,0.00139009,0.0007018865,0.00197281,0.004084584],"domain_scores_gemma":[0.9970816,0.0001470098,0.001121855,0.0007553286,0.0006161601,0.0002780394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005627819,0.0007107795,0.3308463,0.000009717491,0.0004863797,0.00009232409,0.001527531,0.01451188,0.0003116791,0.2744315,0.004348255,0.372161],"study_design_scores_gemma":[0.003796444,0.003604481,0.03175609,0.0001346418,0.0003354564,0.001497279,0.03155058,0.0026455,0.0001127432,0.7281972,0.1946769,0.001692677],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9341238,0.04000722,0.009543675,0.0004943659,0.006089336,0.000411445,0.00002605973,0.0000542612,0.009249835],"genre_scores_gemma":[0.8733215,0.1050903,0.0001447911,0.00008404124,0.0009239789,0.000003234745,0.00001437666,0.00004842211,0.02036937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4537657,"threshold_uncertainty_score":0.9998661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205760054607721,"score_gpt":0.3264588306550018,"score_spread":0.3044012301089246,"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."}}