{"id":"W2805104412","doi":"10.1093/scipol/scx031","title":"Mobile Phones &amp; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005425506,0.0001155683,0.0002253335,0.001195286,0.0003630814,0.0008276386,0.0004107106,0.00003596608,0.0001023093],"category_scores_gemma":[0.0002794026,0.0000952164,0.00003777874,0.001610347,0.000993334,0.001381664,0.0001154206,0.00005860698,0.000003744411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008947799,"about_ca_system_score_gemma":0.0001808455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821015,"about_ca_topic_score_gemma":0.000209278,"domain_scores_codex":[0.9989018,0.000008842179,0.0002057083,0.0001123472,0.0002446692,0.0005266769],"domain_scores_gemma":[0.9991827,0.00002311863,0.00006712635,0.0004321176,0.0000913393,0.0002035947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001664649,0.00009638046,0.2652109,0.00005511352,0.000109196,0.00001614201,0.7006073,0.0005603008,0.002808507,0.000618971,0.0003131221,0.02958744],"study_design_scores_gemma":[0.001935177,0.0004262259,0.8697934,0.00007906686,0.0000647285,0.000167463,0.06031653,0.0120408,0.006296654,0.0005438076,0.04723035,0.001105828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995635,0.0001728334,0.000006244415,0.00008839509,0.00009866207,0.0000654831,0.00001755926,0.00002895612,0.003886894],"genre_scores_gemma":[0.9992969,0.0001213067,0.00001712291,0.0001144907,0.00006066916,0.00006367426,0.000001348876,0.000005001682,0.0003194638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6402907,"threshold_uncertainty_score":0.7980938,"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."}}