{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001828007,0.0001544183,0.000450669,0.0005519355,0.0001415889,0.00001282627,0.00006766653,0.00008083558,0.00002063498],"category_scores_gemma":[0.00002718214,0.0001587087,0.00004399217,0.0007509468,0.000005999996,0.00023401,0.00001677941,0.0002749184,0.000006904569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002184599,"about_ca_system_score_gemma":0.0006251615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008910435,"about_ca_topic_score_gemma":0.0765603,"domain_scores_codex":[0.9975075,0.0002509407,0.001011711,0.0003051033,0.0004043675,0.0005204271],"domain_scores_gemma":[0.9989907,0.00004246031,0.0003165683,0.0002272517,0.0001450745,0.0002779746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004783655,0.0001506839,0.6884642,0.001226388,0.000003177508,4.856417e-7,0.003711918,0.001852687,0.000002910341,0.0005461809,0.0003473707,0.3032156],"study_design_scores_gemma":[0.003473383,0.0003595346,0.9761419,0.0006719473,0.000009392968,0.000003706694,0.000609647,0.009137041,0.000001080137,0.0002423785,0.00923726,0.0001127001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485583,0.00220384,0.0001267157,0.04552233,0.0001933197,0.002926577,0.00002447124,0.00006864865,0.0003758074],"genre_scores_gemma":[0.9276751,0.00006899118,0.008826963,0.06081354,0.0005640037,0.00008360027,0.001889711,0.00002621617,0.00005182487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3031029,"threshold_uncertainty_score":0.9976893,"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."}}