{"id":"W7099784102","doi":"","title":"Social Insurance and Redistribution with Moral Hazard and Adverse Selection,” Scandinavian","year":2006,"lang":"en","type":"article","venue":"","topic":"Legal and Labor Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moral hazard; Social insurance; Redistribution (election); Morale hazard; Economic interventionism; General insurance; Government (linguistics); Key person insurance; Income protection insurance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000326369,0.0000747817,0.00007670563,0.00003130688,0.0002870593,0.00007433465,0.0000163813,0.00002173272,0.000008211956],"category_scores_gemma":[0.00000244269,0.00005481664,0.000008170969,0.0001827641,0.00007233761,0.0004547815,0.00002232158,0.00003750919,0.000003013767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009834767,"about_ca_system_score_gemma":0.000002727803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123185,"about_ca_topic_score_gemma":0.001481931,"domain_scores_codex":[0.9996555,0.000001490753,0.00006158827,0.0001056485,0.00006751455,0.0001082713],"domain_scores_gemma":[0.9998854,0.000002470366,0.00002864107,0.00001822182,0.00006177567,0.000003469601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003230697,0.00001461736,0.9225281,0.00004394864,0.00001069229,0.000001971622,0.00001419589,0.000002962641,0.00004717545,0.06679443,0.009583727,0.0009258698],"study_design_scores_gemma":[0.0004598818,0.000007716385,0.9846015,0.000007835235,0.00001770896,0.000002037958,0.00006581839,0.0002595552,0.00002468992,0.002059744,0.01238609,0.0001074109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604352,0.00006640525,0.00007146569,0.0007207033,0.00003404013,0.00006375933,0.000003898856,0.00009137794,0.03851317],"genre_scores_gemma":[0.9989138,0.000004178276,0.0000369634,0.0001325544,0.0004994493,0.000005091375,0.000009887794,0.000004748046,0.0003933523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06473468,"threshold_uncertainty_score":0.2235358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007236652542425672,"score_gpt":0.1952257761004376,"score_spread":0.187989123558012,"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."}}