{"id":"W1606038422","doi":"","title":"Gender digital equality in ICT interventions in health: Evidence from IDRC supported projects in developing countries","year":2010,"lang":"en","type":"article","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Information and Communications Technology; Developing country; Health care; Affect (linguistics); Socioeconomic status; Digital health; Business; Economic growth; Inequality; Gender analysis; Public relations; Political science; Sociology; Environmental health; Medicine; Nursing; Economics; Population","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":[0.05340757,0.0006342663,0.002023602,0.002344156,0.002364946,0.00314832,0.001584373,0.00153315,0.007034361],"category_scores_gemma":[0.1416488,0.0005882852,0.001212073,0.004788552,0.004525015,0.002194446,0.004347735,0.001701634,0.0003789909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00589489,"about_ca_system_score_gemma":0.01735931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0260605,"about_ca_topic_score_gemma":0.02771338,"domain_scores_codex":[0.9325948,0.0530269,0.003906189,0.001728265,0.006609984,0.002133938],"domain_scores_gemma":[0.8330903,0.1388068,0.01439815,0.00344914,0.007512116,0.00274348],"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":[0.006591323,0.003955537,0.05635333,0.05477593,0.002042938,0.0003698169,0.03646962,0.0006498126,0.0002943692,0.01046874,0.004010439,0.8240181],"study_design_scores_gemma":[0.01137578,0.022569,0.3892386,0.2879131,0.01284683,0.001390954,0.1092377,0.001389086,0.005191862,0.01058881,0.1479693,0.0002890053],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6950347,0.2254074,0.002566498,0.0154316,0.000727915,0.00527527,0.001425185,0.00004337022,0.05408811],"genre_scores_gemma":[0.918588,0.0744537,0.001917424,0.002256756,0.0001099531,0.001725317,0.0001863941,0.00001955663,0.0007430046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05340757,"threshold_uncertainty_score":0.2824496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2855588784244784,"score_gpt":0.516852359462369,"score_spread":0.2312934810378905,"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."}}