{"id":"W1541545690","doi":"","title":"New statistical techniques for designing future generation retirement and insurance solutions","year":2014,"lang":"en","type":"dissertation","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Actuarial science; Computer science; Business; Econometrics; Engineering; Data science; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.003913639,0.0009836499,0.0008165812,0.002014779,0.0006952888,0.001394035,0.001452324,0.0009022051,0.006924544],"category_scores_gemma":[0.0189861,0.0008332605,0.001172116,0.001514274,0.0008738904,0.003180223,0.001591627,0.002332059,0.001885767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007951807,"about_ca_system_score_gemma":0.001815934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613261,"about_ca_topic_score_gemma":0.003185826,"domain_scores_codex":[0.998606,0.0005459253,0.0001052575,0.0001865309,0.0004833697,0.00007303087],"domain_scores_gemma":[0.994377,0.003067839,0.0004235985,0.0007135689,0.001298472,0.0001195617],"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":[0.00008216008,0.000172778,0.002307455,0.0002767717,0.0001148399,0.0001568516,0.000320626,0.2354997,0.009858597,0.2931213,0.01393414,0.4441548],"study_design_scores_gemma":[0.00002738073,0.00009733812,0.0006767749,0.00006194734,0.00004758943,0.0001507015,0.0001117451,0.8184813,0.003670391,0.1596731,0.01696844,0.00003331152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009689143,0.0001491504,0.9975303,0.0002170396,0.00003610893,0.00002258837,0.00004162339,0.0001397426,0.0008945627],"genre_scores_gemma":[0.0622048,0.0009452708,0.9311649,0.0002089135,0.0003181112,0.0002477415,0.0003056656,0.0001978349,0.004406673],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006924544,"threshold_uncertainty_score":0.02316487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05249398023243422,"score_gpt":0.3425835922942373,"score_spread":0.2900896120618031,"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."}}