{"id":"W4388082739","doi":"10.2139/ssrn.4602990","title":"How Do Retiree Health Benefit Promises Affect Municipal Financing?","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Health Care Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Affect (linguistics); Business; Finance; Public economics; Actuarial science; Economics; Psychology","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":[0.007029384,0.0001273832,0.0004683683,0.001342029,0.002922319,0.009514272,0.001212281,0.004125298,0.0227928],"category_scores_gemma":[0.05124042,0.0003702149,0.0005316409,0.001755588,0.001656225,0.00386325,0.002142201,0.003034945,0.001594507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01029497,"about_ca_system_score_gemma":0.01101185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1267483,"about_ca_topic_score_gemma":0.2661624,"domain_scores_codex":[0.9930783,0.002150041,0.0001828523,0.000254171,0.001159576,0.003174945],"domain_scores_gemma":[0.9633919,0.01535491,0.00909948,0.000647786,0.00573412,0.005771755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005775347,0.0008947165,0.6646589,0.0002094591,0.0003176936,0.0006877197,0.01033436,0.002495522,0.0004149239,0.1351787,0.129351,0.05487955],"study_design_scores_gemma":[0.0001380206,0.0002998961,0.7919495,0.0003493481,0.0002756604,0.0001712898,0.04816939,0.002324451,0.0006704468,0.02391365,0.1316223,0.0001160201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7224747,0.001602833,0.0004849491,0.1564089,0.0002867928,0.00007256011,0.001621538,0.00004881952,0.1169989],"genre_scores_gemma":[0.9810504,0.0002974329,0.00007618948,0.005346426,0.0001850962,0.00002141894,0.000200106,0.00001776692,0.01280505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1267483,"threshold_uncertainty_score":0.252021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04458232262956224,"score_gpt":0.4117973516496534,"score_spread":0.3672150290200912,"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."}}