{"id":"W3122365561","doi":"10.15353/rea.v7i2.1419","title":"The Dynamics of Disease in a Regulated Vertically Differentiated Health System","year":2016,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Duopoly; Markov chain; Dimension (graph theory); Quality (philosophy); Disease; Economics; Dynamics (music); Computer science; Econometrics; Microeconomics; Statistical physics; Mathematical economics; Medicine; Mathematics; Physics; Machine learning; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006165561,0.00008644893,0.0004667981,0.0002034498,0.00004184442,0.0000175425,0.0001616477,0.00002085132,0.00008961024],"category_scores_gemma":[0.00006441821,0.0000486774,0.0001627043,0.0008243835,0.00005076203,0.0002304669,0.00003698341,0.00002532948,0.00001972709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117381,"about_ca_system_score_gemma":0.00005104264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004546296,"about_ca_topic_score_gemma":0.0004642702,"domain_scores_codex":[0.9988371,0.00002565863,0.0008117241,0.0001401932,0.0000634829,0.0001218514],"domain_scores_gemma":[0.998871,0.00004077608,0.0006838344,0.0002827275,0.0001128438,0.000008768779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000899678,0.00007705222,0.1523284,0.01381058,0.0007378045,6.283407e-7,0.000002418722,0.0002938011,0.00001705885,0.8031852,0.0002876185,0.02916948],"study_design_scores_gemma":[0.0008377954,0.00001289245,0.6786019,0.01450141,0.002005467,1.548886e-7,0.00004368446,0.3003924,0.000006199146,0.001805175,0.001480683,0.0003121809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.923606,0.02595473,0.007912787,0.03822218,0.0003186078,0.001110633,0.00005616471,0.00008543293,0.002733479],"genre_scores_gemma":[0.9944997,0.005207006,0.000007000832,0.0001509925,0.00002586694,0.000008088659,0.00005577416,0.000005913892,0.00003959864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.80138,"threshold_uncertainty_score":0.1985007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208498567711121,"score_gpt":0.2355932897720943,"score_spread":0.223508304094983,"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."}}