{"id":"W2135392385","doi":"","title":"Factors Influencing PhilHealth Coverage and In-patient Benefit Utilization of Filipino Children under Five","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Descriptive statistics; Environmental health; Payment; Health care; Health insurance; Population; Business; Quarter (Canadian coin); Medicine; Demography; Geography; Economic growth; Economics; Finance","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001247106,0.0003333807,0.001075811,0.001151627,0.0001055598,0.00008713642,0.000345582,0.0006385017,0.00008247787],"category_scores_gemma":[0.0001968948,0.0003301857,0.0001288698,0.0002025533,0.0001516295,0.0002096476,0.0006097098,0.001166304,0.00000955311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427804,"about_ca_system_score_gemma":0.000288476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01687224,"about_ca_topic_score_gemma":0.00176945,"domain_scores_codex":[0.9963053,0.00008555975,0.001826743,0.0009554847,0.00009715994,0.0007297848],"domain_scores_gemma":[0.9980423,0.0001221573,0.0008099104,0.000705075,0.00009053996,0.0002299581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002749813,0.0001514044,0.9005139,0.0008091631,0.00009609568,0.000002343225,0.003850324,0.02121376,0.000004083933,0.006403884,0.000006737011,0.06692082],"study_design_scores_gemma":[0.0004949909,0.0001132452,0.9783821,0.0003845841,0.000001022769,0.0000025815,0.0008364497,0.003410587,0.0000246836,0.01563624,0.0003387423,0.0003747637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989629,0.001130016,0.000005470058,0.0001209302,0.0003648442,0.001380702,0.000404276,0.00001373604,0.006950975],"genre_scores_gemma":[0.9841636,0.01511935,0.00004647884,0.000062559,0.00007238986,0.0001033364,0.0001273022,0.0000549248,0.0002499918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07786822,"threshold_uncertainty_score":0.999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06877661934124363,"score_gpt":0.3078931329432772,"score_spread":0.2391165136020336,"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."}}