{"id":"W3125824511","doi":"10.5509/2012853483","title":"Cellular Mobile in India: Competition and Policy","year":2012,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"ICT Impact and Policies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Business; Political science; Economic geography; Economics; Biology; Ecology","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":[0.0009419202,0.0003173402,0.0003727517,0.001664118,0.002766043,0.009951399,0.001203845,0.003407318,0.02047427],"category_scores_gemma":[0.002637382,0.0002665615,0.0004399417,0.003142421,0.003248018,0.0026599,0.00277546,0.003156499,0.002125494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01459557,"about_ca_system_score_gemma":0.01328187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05883297,"about_ca_topic_score_gemma":0.04358464,"domain_scores_codex":[0.9983118,0.0002308836,0.00004960155,0.0001523979,0.0003810851,0.0008742984],"domain_scores_gemma":[0.9974278,0.0008911161,0.0002839789,0.00007402179,0.0005520601,0.0007710467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001371625,0.0001602687,0.006545874,0.000456548,0.00002771839,0.001236313,0.001142435,0.00273928,0.0008504612,0.8672096,0.07905207,0.04044235],"study_design_scores_gemma":[0.000124487,0.0003728375,0.05116228,0.001293778,0.00007246969,0.002126529,0.008569573,0.006261708,0.001181567,0.1597045,0.768905,0.0002252827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1232944,0.02675718,0.001346855,0.2062651,0.0009146204,0.00007835127,0.001398052,0.0001912774,0.6397542],"genre_scores_gemma":[0.9113107,0.01129304,0.0005666381,0.0306361,0.0007683348,0.00006540478,0.0004129781,0.00003542332,0.04491137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05883297,"threshold_uncertainty_score":0.116981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00576511818099308,"score_gpt":0.2117581862443626,"score_spread":0.2059930680633696,"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."}}