{"id":"W2754842594","doi":"10.1186/s12960-017-0242-z","title":"Physicians’ perceptions on the impact of telemedicine on recruitment and retention in underserved areas: a descriptive study in Senegal","year":2017,"lang":"en","type":"article","venue":"Human Resources for Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; University of Ottawa","funders":"Canadian Institutes of Health Research; University of Ottawa; SENSHIN Medical Research Foundation; Faculty of Graduate and Postdoctoral Studies, University of Alberta","keywords":"Telemedicine; Health administration; Medicine; Promotion (chess); Health services research; Public health; Family medicine; Nursing; Health informatics; Perception; Affect (linguistics); Health care; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022123,0.0002158675,0.0005451423,0.0002221487,0.001942415,0.00001723388,0.0002611243,0.0001066972,0.00006556081],"category_scores_gemma":[0.0002329048,0.0001455017,0.0000838022,0.0001336332,0.0001578189,0.00007217679,0.00007609258,0.0005953436,0.000006894588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123948,"about_ca_system_score_gemma":0.0001671068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03719017,"about_ca_topic_score_gemma":0.06921437,"domain_scores_codex":[0.9967566,0.001075124,0.0008150905,0.0003868495,0.0002923073,0.0006740316],"domain_scores_gemma":[0.9978391,0.0004936359,0.0007631882,0.0006797835,0.0000826876,0.0001416225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001126204,0.001070346,0.8624386,0.0003840661,0.00003713464,0.00000318655,0.1276998,0.00007295553,0.00004365177,0.001627529,0.00330704,0.002189437],"study_design_scores_gemma":[0.002655399,0.004771869,0.8771592,0.002639012,0.000008043326,1.994428e-7,0.1112736,0.0001616146,6.501049e-7,0.0009661923,0.0002744728,0.00008973468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855617,0.00006377068,0.000002834377,0.004661509,0.00009857656,0.008162773,0.00004918546,0.0000243428,0.001375269],"genre_scores_gemma":[0.9978048,0.00006730461,0.00001991965,0.0006959755,0.0001387118,0.0008015375,0.00001733913,0.00002668479,0.0004276821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0320242,"threshold_uncertainty_score":0.9993569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2931961733366839,"score_gpt":0.5194197619511017,"score_spread":0.2262235886144179,"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."}}