{"id":"W3131887082","doi":"","title":"How Important is Price Variation between Health Insurers","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Variation (astronomy); Negotiation; Incentive; Business; Value (mathematics); Health insurance; Price discrimination; Actuarial science; Affect (linguistics); Economics; Microeconomics; Health care","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":[0.007740991,0.000165615,0.0009396762,0.0006242085,0.001147709,0.0050459,0.001364086,0.002043879,0.005377509],"category_scores_gemma":[0.07046819,0.0003992249,0.0006499193,0.001171921,0.001459326,0.003884211,0.001437634,0.002022401,0.0004694893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002846266,"about_ca_system_score_gemma":0.001183839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327777,"about_ca_topic_score_gemma":0.007456637,"domain_scores_codex":[0.9918513,0.004053755,0.0004713625,0.001447159,0.001097122,0.001079268],"domain_scores_gemma":[0.9324586,0.04483876,0.01547983,0.003064634,0.001871184,0.00228704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008347217,0.000427935,0.8341342,0.0002094798,0.001314113,0.0006406562,0.003451563,0.02485821,0.00167846,0.0722408,0.004476352,0.05573357],"study_design_scores_gemma":[0.0001879284,0.0004252682,0.8649141,0.0001001966,0.0004136411,0.0005804133,0.004670791,0.03503969,0.0007857659,0.08454674,0.008216677,0.0001187424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958891,0.001889544,0.007280339,0.00992285,0.0001104485,0.00005359371,0.000532035,0.00003017062,0.02129003],"genre_scores_gemma":[0.9991672,0.00008315639,0.0001675888,0.0001490725,0.00003826852,0.000004407884,0.00004937827,0.000004089768,0.0003368078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327777,"threshold_uncertainty_score":0.04093874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03398850571481971,"score_gpt":0.2699089164537085,"score_spread":0.2359204107388888,"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."}}