{"id":"W2979536896","doi":"10.35940/ijitee.f1239.0486s419","title":"University Towns: Emerging Sector in India","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Metropolitan area; Census; Geography; Population; Economic growth; Locality; Population growth; Regional science; Socioeconomics; Sociology; Demography; Economics; Archaeology","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":[0.0002423985,0.00004966206,0.00009235008,0.001094451,0.00002482707,0.000009830485,0.0001977575,0.00005721558,0.00002738807],"category_scores_gemma":[0.0001044778,0.00004999785,0.00001232068,0.0006193503,0.00003753212,0.0003557334,0.00004829256,0.0002312854,0.000002863606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001292829,"about_ca_system_score_gemma":0.00004347504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001074904,"about_ca_topic_score_gemma":0.000005873637,"domain_scores_codex":[0.9995545,0.000008918861,0.000135846,0.0000616835,0.000136269,0.0001028116],"domain_scores_gemma":[0.999643,0.00003801593,0.00007626038,0.00002461773,0.0002012621,0.00001689793],"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":[0.00006483783,0.00004578056,0.3087189,0.00001638961,0.0002218638,0.0002424526,0.01502854,0.0002933127,0.006602969,0.6436985,0.00007771981,0.02498877],"study_design_scores_gemma":[0.003048565,0.0002083228,0.6749781,0.001359752,0.000008176681,0.00007540289,0.07773377,0.0001912254,0.007747708,0.004616303,0.2293417,0.0006909144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953022,0.0001294543,0.0002452527,0.001744811,0.0008359343,0.00002997366,4.675223e-7,0.00002887926,0.001683019],"genre_scores_gemma":[0.9983946,0.0005165315,0.0008819748,0.00001333235,0.00006712687,4.63206e-7,2.493343e-7,0.000003467499,0.0001222202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6390822,"threshold_uncertainty_score":0.2038853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337748266334631,"score_gpt":0.2442855102818857,"score_spread":0.2209080276185394,"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."}}