{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003423277,0.0002060357,0.0001326767,0.0009420392,0.004926866,0.009673765,0.0002950778,0.0009878126,0.003734503],"category_scores_gemma":[0.001164502,0.0001807134,0.0001141503,0.001590446,0.006551981,0.002324739,0.002498048,0.001826086,0.0004712022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003592867,"about_ca_system_score_gemma":0.002438256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008049753,"about_ca_topic_score_gemma":0.01238239,"domain_scores_codex":[0.9994206,0.0002248816,0.00001347372,0.00004011906,0.0001054983,0.000195475],"domain_scores_gemma":[0.9994162,0.0003381803,0.00008289386,0.00001891586,0.00003908909,0.0001046752],"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":[0.00005154109,0.00007366393,0.01569166,0.0002186913,0.00002111123,0.001216416,0.07937645,0.0004488933,0.0009231975,0.8365213,0.02515997,0.0402972],"study_design_scores_gemma":[0.00001188908,0.00006248358,0.06308217,0.0004303537,0.00002427207,0.0008465222,0.1219258,0.0005249418,0.000683415,0.0526268,0.7597407,0.00004065613],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2527074,0.02256146,0.0005009233,0.05328096,0.0005215156,0.00002293078,0.00007974706,0.00002155154,0.6703035],"genre_scores_gemma":[0.9553057,0.01011468,0.0001218128,0.002882513,0.0002545696,0.00002371349,0.0000275416,0.00001039891,0.03125919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009673765,"threshold_uncertainty_score":0.02606815,"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."}}