{"id":"W2805104412","doi":"10.1093/scipol/scx031","title":"Mobile Phones & Literacy: Empowerment in Women's Hands: a Cross-case Analysis of Nine Experiences","year":2017,"lang":"en","type":"article","venue":"Science and Public Policy","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Empowerment; Literacy; Transparency (behavior); Mobile phone; Context (archaeology); Public relations; Sociology; Political science; Computer science; Pedagogy; Geography; Telecommunications; Law","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":[0.008332157,0.0007579507,0.0008799898,0.002430154,0.01033493,0.006703657,0.001923144,0.002642184,0.005274695],"category_scores_gemma":[0.01376104,0.0007165622,0.0006447045,0.003372845,0.007064197,0.0071157,0.009846383,0.003211318,0.00086934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004261268,"about_ca_system_score_gemma":0.003096872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003175818,"about_ca_topic_score_gemma":0.009324132,"domain_scores_codex":[0.9918095,0.005597332,0.0002554788,0.0003984024,0.0009934012,0.0009458222],"domain_scores_gemma":[0.9910415,0.00644004,0.0006565515,0.0002851488,0.0006801629,0.0008966646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003211034,0.0001234263,0.002695955,0.0003468618,0.00000668709,0.004263935,0.9718046,0.00002301125,0.0002172876,0.002836015,0.002733467,0.0149165],"study_design_scores_gemma":[0.000004282777,0.00007405564,0.002166854,0.0003857574,0.000006865424,0.001244369,0.9675752,0.00002177824,0.0002023502,0.000438261,0.02786691,0.00001335493],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570768,0.004751303,0.002931445,0.005750311,0.0002446817,0.0006795177,0.0002565249,0.00003208582,0.02827728],"genre_scores_gemma":[0.9653941,0.007487417,0.00273635,0.001602592,0.00009919986,0.001074645,0.0001658312,0.0000888853,0.02135093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01033493,"threshold_uncertainty_score":0.04406524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588067734614386,"score_gpt":0.3446488293282964,"score_spread":0.3287681519821525,"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."}}