{"id":"W1484074480","doi":"10.1080/10920277.2009.10597570","title":"Weighted Pricing Functionals With Applications to Insurance","year":2009,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; York University","funders":"","keywords":"Actuarial science; Econometrics; Computer science; Economics; Mathematical economics","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":[0.004739922,0.0007018038,0.0006459733,0.002089874,0.000711169,0.001667342,0.0009439443,0.001030049,0.002837547],"category_scores_gemma":[0.01404124,0.000363114,0.0008327259,0.001691835,0.002112522,0.003313383,0.001949158,0.001959301,0.0002202875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110398,"about_ca_system_score_gemma":0.0007742525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223092,"about_ca_topic_score_gemma":0.000820471,"domain_scores_codex":[0.9987381,0.0006864156,0.00005456539,0.0001061111,0.0003420982,0.00007275341],"domain_scores_gemma":[0.9939851,0.004184416,0.0003465558,0.0003164869,0.0008720181,0.0002954016],"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":[0.000007762567,0.00002187555,0.0003699073,0.00002583141,0.00001682958,0.0000758767,0.00007522794,0.03146394,0.0004541828,0.9572599,0.0004497868,0.009778894],"study_design_scores_gemma":[0.00000515388,0.0000140823,0.0002497562,0.00001588181,0.000005449981,0.00005541888,0.00003017999,0.1829825,0.0001093491,0.8151848,0.00133817,0.000009280869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05487511,0.001176362,0.9315199,0.001712364,0.0002077351,0.00004010775,0.00005001067,0.00008202041,0.01033635],"genre_scores_gemma":[0.8336728,0.002442043,0.1516718,0.0004540415,0.0007251291,0.0001651237,0.00009672265,0.0001530064,0.0106194],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004739922,"threshold_uncertainty_score":0.02506745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291249359056624,"score_gpt":0.2899613732737655,"score_spread":0.2770488796831992,"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."}}