{"id":"W1965562398","doi":"10.1177/1932296815572680","title":"Reimbursement Programs and Health Technology Assessment for Diabetes Devices and Supplies","year":2015,"lang":"en","type":"article","venue":"Journal of Diabetes Science and Technology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Health technology; Business; Advisory committee; Medicine; Process (computing); Health care; Computer science; Public administration; Political science","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":[0.01955634,0.0001345843,0.0008121521,0.001316646,0.0002711205,0.0001300142,0.0002954186,0.0001366711,0.000002274679],"category_scores_gemma":[0.00163897,0.0001321068,0.0000238376,0.0005688588,0.001023835,0.000528202,0.0001476324,0.0001818923,0.000002521542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002788451,"about_ca_system_score_gemma":0.0004824941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009531733,"about_ca_topic_score_gemma":0.00002671238,"domain_scores_codex":[0.9971619,0.00003151874,0.001814285,0.0003631265,0.0001278665,0.0005013309],"domain_scores_gemma":[0.9971229,0.0001607767,0.001947543,0.0001973677,0.0003391097,0.0002322924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001230816,0.00005480954,0.8937547,0.000151598,0.00003314596,2.02173e-7,0.0002115522,0.000001043035,0.00005425365,0.09031619,0.0009912123,0.01443013],"study_design_scores_gemma":[0.005613421,0.01105061,0.1766153,0.0007686717,0.00005858059,0.00006863907,0.02611643,0.007372736,0.0008918385,0.602106,0.1682633,0.001074594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8011293,0.01043061,0.0002091568,0.1875132,0.0001922239,0.0004248768,0.00001051405,0.00002702348,0.00006302611],"genre_scores_gemma":[0.9745623,0.0002794844,0.02282646,0.00218084,0.00006242916,0.00006257731,0.000001226092,0.000009871999,0.00001480698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7171394,"threshold_uncertainty_score":0.6777875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2833148874188977,"score_gpt":0.4500558630950076,"score_spread":0.16674097567611,"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."}}