{"id":"W3125183276","doi":"","title":"Externalities and Benefit Design in Health Insurance","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Externality; Prescription drug; Download; Subsidy; Incentive; Business; Public economics; Prescription costs; Medical prescription; Consumption (sociology); Actuarial science; Medicare Part D; Economics; Microeconomics; Pharmacology; Medicine","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":[0.007015681,0.0007582426,0.0009529722,0.001035044,0.000838889,0.003003279,0.0006779921,0.001853302,0.01107432],"category_scores_gemma":[0.01232878,0.0006860557,0.000922591,0.0009016413,0.003118201,0.002781209,0.002298117,0.001711268,0.00051039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003790728,"about_ca_system_score_gemma":0.0014237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001701856,"about_ca_topic_score_gemma":0.002874733,"domain_scores_codex":[0.9952348,0.002794151,0.000189294,0.0004761816,0.0006404864,0.0006650503],"domain_scores_gemma":[0.9908598,0.005453739,0.001926257,0.0006841131,0.0004927943,0.0005832465],"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":[0.0003878344,0.0005200172,0.05240283,0.0001265161,0.0002372191,0.0003404266,0.000434784,0.1314088,0.001664353,0.7808919,0.001640928,0.02994435],"study_design_scores_gemma":[0.000395725,0.00106454,0.04312675,0.0001608036,0.0002378515,0.0004467166,0.0004891923,0.1088535,0.001222183,0.8222154,0.02169052,0.00009667832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6548316,0.001314136,0.2146871,0.005626828,0.0001479705,0.0007527148,0.0007827227,0.0001572127,0.1216997],"genre_scores_gemma":[0.9814065,0.000403089,0.007397232,0.0003286689,0.00009438938,0.0001832187,0.0001191764,0.00002809642,0.01003965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01107432,"threshold_uncertainty_score":0.03710288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08196332851849211,"score_gpt":0.295641650599869,"score_spread":0.2136783220813769,"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."}}