{"id":"W2265650167","doi":"","title":"Is The Mobile Phone Technology Feasible For Effective Monitoring Of Defecation Practices In Ghana? The Case Of A Peri-Urban District In Ghana","year":2015,"lang":"en","type":"article","venue":"International journal of scientific and technology research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanitation; Mobile phone; Phone; Improved sanitation; Quarter (Canadian coin); Short Message Service; Business; Internet privacy; Engineering; Computer science; Geography; Telecommunications; Environmental engineering","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":[0.001001014,0.0003391778,0.0002553125,0.0004269591,0.002769931,0.001562146,0.0008364278,0.001738429,0.004524231],"category_scores_gemma":[0.004077505,0.0004081826,0.0001403601,0.0007376795,0.002251875,0.00159149,0.001097175,0.001226232,0.0005310544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999111,"about_ca_system_score_gemma":0.002749469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0315356,"about_ca_topic_score_gemma":0.05443797,"domain_scores_codex":[0.9986936,0.0007754876,0.00004939692,0.00006349583,0.00008096463,0.0003370711],"domain_scores_gemma":[0.9967802,0.001545419,0.0006647884,0.0001025679,0.0002354524,0.0006715899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0005656313,0.0008788903,0.3589035,0.001707274,0.00003740947,0.4124719,0.1439503,0.001277954,0.007080452,0.004374344,0.00692435,0.06182804],"study_design_scores_gemma":[0.00009466791,0.001210939,0.2261852,0.001294386,0.00005841227,0.05116836,0.6882019,0.001448641,0.001164184,0.001514911,0.02759426,0.00006419311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859,0.0008789211,0.0003610215,0.007981981,0.00003369964,0.00008478174,0.00005021476,0.00001081537,0.004698605],"genre_scores_gemma":[0.9973701,0.0007495185,0.0004737451,0.0004319081,0.00001601521,0.0000244764,0.00001740513,0.000004362448,0.0009123644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0315356,"threshold_uncertainty_score":0.06270409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576656163361101,"score_gpt":0.5385174404578464,"score_spread":0.3808518241217363,"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."}}