{"id":"W7131682335","doi":"10.5281/zenodo.18778720","title":"Telehealth in Sierra Leone: Accessibility and Impact on Rural Populations","year":2003,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Telehealth; Telemedicine; Rural area; Sample (material); Investment (military); The Internet; Health care; Focus group; Rural health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388906,0.0002915257,0.000266657,0.0007776886,0.0005639443,0.0007951432,0.0003093999,0.0003259056,0.001342041],"category_scores_gemma":[0.005018807,0.0001805762,0.0002315199,0.0006340879,0.0006128767,0.0005333694,0.001192842,0.0003894631,0.00007343298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006139147,"about_ca_system_score_gemma":0.0008047087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03597804,"about_ca_topic_score_gemma":0.0547854,"domain_scores_codex":[0.9990165,0.0006652358,0.00002815029,0.00006049386,0.00005520724,0.0001743514],"domain_scores_gemma":[0.9986237,0.0007775991,0.0002711764,0.00005138669,0.0001179602,0.0001581566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004269481,0.001084664,0.9232513,0.0003298013,0.0001127618,0.001732771,0.01476504,0.001002865,0.0008784249,0.0006078411,0.0005451864,0.05526234],"study_design_scores_gemma":[0.00009563028,0.001285787,0.9702636,0.0001843179,0.00009449777,0.0008006571,0.02311415,0.001326662,0.0003177238,0.0003888474,0.00211307,0.00001505985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989545,0.0001613866,0.00005357287,0.0001062407,0.000001896754,0.00002378713,0.00003478966,0.00000176939,0.0006619838],"genre_scores_gemma":[0.9992799,0.0002413551,0.0001134825,0.00003399307,0.000004500755,0.00004105136,0.00004409245,9.695433e-7,0.0002406722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03597804,"threshold_uncertainty_score":0.07153726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07516847394328448,"score_gpt":0.3770432132612089,"score_spread":0.3018747393179244,"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."}}