{"id":"W6903907476","doi":"10.13140/rg.2.2.34711.52643","title":"The use of micro-projectors as a tool for SBCC by CHWs in Tanzania","year":2020,"lang":"en","type":"article","venue":"","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tanzania; Qualitative research; Government (linguistics); Quarter (Canadian coin)","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":[0.00186512,0.0002925704,0.0001309129,0.001029627,0.002104708,0.0008018505,0.0008891252,0.0004934309,0.005842794],"category_scores_gemma":[0.005035779,0.0002464508,0.0001016584,0.0005953103,0.001116473,0.0005536624,0.001827458,0.0005721014,0.0004101868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244936,"about_ca_system_score_gemma":0.005353883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0304101,"about_ca_topic_score_gemma":0.06162912,"domain_scores_codex":[0.9984596,0.0009685867,0.00004843273,0.00007955206,0.0001460957,0.0002977652],"domain_scores_gemma":[0.9964738,0.001542907,0.0003663746,0.0002246749,0.0004717632,0.0009205338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005370928,0.0007647395,0.3229876,0.001009909,0.00002959976,0.004561034,0.2317308,0.0006218744,0.01857046,0.003051895,0.0078969,0.408238],"study_design_scores_gemma":[0.00008212407,0.003024314,0.4974219,0.001177307,0.00008164842,0.001477084,0.4485486,0.002634196,0.004455122,0.001016044,0.03999147,0.00009020296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925767,0.0002374337,0.001024523,0.0008293053,0.00002406672,0.0002490235,0.00008837761,0.00004830392,0.004922329],"genre_scores_gemma":[0.9960737,0.000116862,0.002084685,0.00007230414,0.000004680394,0.0001079393,0.00002191744,0.000004528997,0.001513466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0304101,"threshold_uncertainty_score":0.06046623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06994260266790714,"score_gpt":0.2676889002040233,"score_spread":0.1977462975361162,"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."}}