{"id":"W4404718626","doi":"10.70949/pramed200801223m","title":"COMPARATIVE ANALISYS OF ANALISYS OF HEALTH SURVEYS","year":2008,"lang":"en","type":"article","venue":"Praxis medica","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomics; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1308619,0.0007506154,0.00185293,0.02290636,0.001273744,0.003171427,0.001507547,0.001296064,0.005644836],"category_scores_gemma":[0.3752936,0.000632796,0.003171379,0.01835851,0.001753224,0.003196976,0.003571318,0.001043711,0.0006325289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003002678,"about_ca_system_score_gemma":0.001754846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002878967,"about_ca_topic_score_gemma":0.002523628,"domain_scores_codex":[0.5955756,0.3226478,0.02755465,0.01186392,0.03922164,0.003136356],"domain_scores_gemma":[0.5804789,0.2959318,0.02449467,0.03816544,0.05953518,0.001393954],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006182258,0.0008589955,0.5441102,0.01094861,0.02369478,0.000807201,0.02904642,0.003133121,0.004034958,0.05309187,0.01604947,0.3080421],"study_design_scores_gemma":[0.0006027355,0.008716703,0.8466486,0.003405139,0.004711599,0.0009685378,0.04236167,0.009868054,0.003540295,0.02003241,0.05873894,0.0004053133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7133182,0.01226224,0.1758082,0.001185647,0.00171133,0.01803373,0.02703925,0.001360191,0.04928127],"genre_scores_gemma":[0.8987483,0.001087718,0.07364547,0.0003611108,0.0003044032,0.01379128,0.009278689,0.0002149981,0.002567879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8691381,"threshold_uncertainty_score":0.6920722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2090687626774944,"score_gpt":0.4156277231066052,"score_spread":0.2065589604291108,"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."}}