{"id":"W2763205215","doi":"10.1093/pch/pxx086.047","title":"MAPPING HEALTH FACILITY CHARACTERISTICS AND LOCATION IN RURAL TANZANIA","year":2017,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia","funders":"","keywords":"Staffing; Medicine; Health facility; Medical emergency; Public health; Health informatics; Health care; Geographic information system; Family medicine; Population; Tanzania; Environmental health; Nursing; Geography; Health services; Cartography","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":[0.0004194563,0.0001628783,0.0001082296,0.001720414,0.0003142483,0.0003371951,0.0003238561,0.000206517,0.001613989],"category_scores_gemma":[0.002161234,0.0001671025,0.0001259526,0.00172401,0.0002403654,0.000274045,0.0007120978,0.0001041683,0.0001979021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000536809,"about_ca_system_score_gemma":0.0006048393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03001853,"about_ca_topic_score_gemma":0.04609868,"domain_scores_codex":[0.9996774,0.0001111166,0.00002616702,0.0000548208,0.00003880573,0.00009162886],"domain_scores_gemma":[0.9987011,0.0002998545,0.0006522299,0.00005127524,0.0001553477,0.0001401903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007832534,0.00002300427,0.9861099,0.0001098997,0.00001555059,0.0002608435,0.001949073,0.0005664543,0.001120057,0.00006217999,0.0003679947,0.00933682],"study_design_scores_gemma":[0.000005650736,0.00009248938,0.9962489,0.00003340814,0.00001045161,0.0001943386,0.002427285,0.0005279613,0.00008375609,0.00002064973,0.0003492945,0.000005833452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99905,0.00008041275,0.0001144892,0.0000288747,8.450885e-7,0.00001783925,0.0005208943,0.000006039832,0.0001806344],"genre_scores_gemma":[0.9992501,0.00005283141,0.0003291623,0.00000665923,9.27535e-7,0.00002384064,0.0002532396,0.00000113442,0.00008203786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03001853,"threshold_uncertainty_score":0.05968761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706520631114039,"score_gpt":0.2895833266497562,"score_spread":0.2725181203386158,"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."}}