{"id":"W3184991567","doi":"","title":"Exploring healthcare landscape in urban Bangladesh: findings from health facility mapping of Dinajpur municipality in Bangladesh","year":2021,"lang":"en","type":"article","venue":"","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gratitude; Health care; Political science; Business; Medicine; Public administration; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.000483882,0.0002648247,0.0002793659,0.001660157,0.00133771,0.001220363,0.0006891963,0.0004844634,0.003233918],"category_scores_gemma":[0.002291015,0.0002833342,0.000241877,0.004208102,0.0006857884,0.0007178488,0.002074751,0.0003219779,0.00031899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750871,"about_ca_system_score_gemma":0.002064668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1331369,"about_ca_topic_score_gemma":0.2201171,"domain_scores_codex":[0.9993849,0.0002844491,0.00005118416,0.00007563013,0.00006576815,0.0001380368],"domain_scores_gemma":[0.99902,0.0003201812,0.0002574024,0.0000555407,0.0001635649,0.0001833677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001083438,0.00007280926,0.8919742,0.0008229244,0.000114668,0.002468511,0.05719338,0.0007887706,0.002218119,0.0009084336,0.002673606,0.0406561],"study_design_scores_gemma":[0.000004895764,0.00008782571,0.8617599,0.000322945,0.00004436919,0.000567255,0.131825,0.0003176751,0.000128887,0.0001966924,0.004707317,0.00003720935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922672,0.0004301227,0.0002513371,0.0006783307,0.000004539185,0.00008647281,0.001741285,0.00001021418,0.004530484],"genre_scores_gemma":[0.9984072,0.0003515345,0.000388794,0.00005620996,0.000002103962,0.00006704495,0.0003889117,0.000003593999,0.0003346661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1331369,"threshold_uncertainty_score":0.2647238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1046442784609408,"score_gpt":0.3072404824424965,"score_spread":0.2025962039815556,"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."}}