{"id":"W3108547994","doi":"10.21203/rs.3.rs-115748/v1","title":"Training Needs Assessment of Health Care Professionals in Reproductive, Maternal and Newborn Health in a Low-Income Setting in Tanzania","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; Aga Khan Foundation Canada; Aga Khan Foundation","keywords":"Tanzania; Reproductive health; Medicine; Health professionals; Low income; Nursing; Training (meteorology); Environmental health; Health care; Family medicine; Economic growth; Socioeconomics; Geography; Population; Economics","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001576656,0.0001699844,0.0001623276,0.0007421506,0.0009369057,0.0004308215,0.0004253164,0.0003894345,0.001743311],"category_scores_gemma":[0.004224031,0.0002492435,0.0001819274,0.000529372,0.000357869,0.0003380666,0.0009585032,0.0003483126,0.000133902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272673,"about_ca_system_score_gemma":0.002604476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01777624,"about_ca_topic_score_gemma":0.03075177,"domain_scores_codex":[0.9991146,0.0002834985,0.00008039219,0.00004286127,0.0001379681,0.000340761],"domain_scores_gemma":[0.9980502,0.0004327188,0.0005104918,0.00003644521,0.0003833196,0.0005867801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005611198,0.0002880974,0.9571543,0.000222271,0.00001111091,0.0006637354,0.02692813,0.0001037655,0.00079801,0.00006917911,0.0007157184,0.01298959],"study_design_scores_gemma":[0.000009038999,0.0003118547,0.9570985,0.0001339578,0.000006239035,0.0002105957,0.04096611,0.0002859129,0.000125824,0.00003613201,0.0008086558,0.000007105964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994479,0.00005886268,0.00001998363,0.0001420691,0.000002793874,0.00003469965,0.00004185354,6.79418e-7,0.0002512312],"genre_scores_gemma":[0.999345,0.0001095098,0.0001938249,0.00006900897,0.000003155337,0.00007761129,0.00004989331,3.391397e-7,0.0001516744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01777624,"threshold_uncertainty_score":0.03534555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07586476757734234,"score_gpt":0.4733027447063277,"score_spread":0.3974379771289853,"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."}}