{"id":"W2088601543","doi":"10.5509/2012853469","title":"The Mobile Phone in India and Nepal: Political Economy, Politics and Society","year":2012,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"ICT Impact and Policies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National University of Singapore","keywords":"Politics; Mobile phone; Political science; Political economy; Economy; Development economics; Sociology; Economics; Engineering; Telecommunications; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001292598,0.0001072,0.0001071741,0.00002549562,0.00008170251,0.00004992452,0.00004287502,0.00007181646,0.000009522073],"category_scores_gemma":[0.00000753538,0.00008401935,0.00002695656,0.00005512702,0.0001480156,0.0001168865,0.00002848554,0.0001316191,0.0000162501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005051737,"about_ca_system_score_gemma":0.000009546446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002387839,"about_ca_topic_score_gemma":0.000001969499,"domain_scores_codex":[0.999227,0.00001271827,0.0001130995,0.00003874856,0.00003845423,0.0005699233],"domain_scores_gemma":[0.9995584,0.0001402522,0.000009147757,0.0001064156,0.000005298527,0.0001804115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009184717,0.00008976771,0.08935038,0.0003022786,0.0001551755,0.000001858224,0.1559529,0.00004315519,0.0004486885,0.7320154,0.01710978,0.004521436],"study_design_scores_gemma":[0.0008783285,0.00006640115,0.08256988,0.00003301535,0.0000356293,0.00008312544,0.8005889,0.00331478,0.002083288,0.006583222,0.1030635,0.0006999527],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3940437,0.002567272,0.00002441553,0.0001478999,0.0002640589,0.0001482289,0.00002092949,0.0001053023,0.6026782],"genre_scores_gemma":[0.9993687,0.0002250364,0.00004217758,0.00002330695,0.0001655083,0.00001599242,0.000002422124,0.00001877249,0.0001380507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7254322,"threshold_uncertainty_score":0.3426209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006231206256711612,"score_gpt":0.2160530904097769,"score_spread":0.2098218841530653,"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."}}