{"id":"W2130387647","doi":"","title":"Screening for Service Needs in Primary Health Care Clinics: an Evaluation in Bangladesh","year":2005,"lang":"en","type":"article","venue":"World health & population","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Needs assessment; Service (business); Primary health care; Developing country; Government (linguistics); Reproductive health; Health services; Family medicine; Health care; Nursing; Intervention (counseling); Primary care; Public health; Environmental health; Population; Business; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008043895,0.000763012,0.0008959105,0.001010217,0.001648472,0.0008830758,0.0009264987,0.001023272,0.004640183],"category_scores_gemma":[0.01507685,0.0006784775,0.0008026303,0.001580604,0.0009781558,0.0009072415,0.001015161,0.001062518,0.0006473344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003840044,"about_ca_system_score_gemma":0.00396227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02380604,"about_ca_topic_score_gemma":0.03027264,"domain_scores_codex":[0.9940275,0.003286283,0.0004517242,0.0003681695,0.001168323,0.0006980885],"domain_scores_gemma":[0.9868154,0.006355864,0.001232856,0.0004430728,0.00185746,0.003295279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01903666,0.03401292,0.5969307,0.005742416,0.0004525564,0.003793319,0.03310393,0.001635215,0.01101922,0.0003893597,0.003314583,0.2905691],"study_design_scores_gemma":[0.008239911,0.1111503,0.8482642,0.0008137159,0.0005359277,0.001685163,0.01925652,0.00174146,0.003555657,0.0002220606,0.004372953,0.0001619614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950177,0.0002952799,0.0001432613,0.0003841813,0.00001718245,0.00159029,0.000336101,0.00002414155,0.002191896],"genre_scores_gemma":[0.9956515,0.0007443056,0.001453214,0.000191013,0.00002166562,0.00115795,0.0002411813,0.00000616438,0.0005329608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02380604,"threshold_uncertainty_score":0.04733491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05418750909610062,"score_gpt":0.4021780066170489,"score_spread":0.3479904975209483,"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."}}