{"id":"W2130965328","doi":"10.1017/s0963926812000429","title":"Numbers didn't count: the streets of colonial Bombay and Calcutta","year":2012,"lang":"en","type":"article","venue":"Urban History","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Colonialism; Census; Politics; Geography; State (computer science); Economy; Economic history; History; Socioeconomics; Political science; Demography; Sociology; Archaeology; Law; Economics; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004331578,0.0002538943,0.0003552052,0.001817367,0.02136044,0.004046142,0.00110391,0.0008099516,0.009084586],"category_scores_gemma":[0.0015528,0.0004763281,0.0001181125,0.00463271,0.009624794,0.001735856,0.004292278,0.002522115,0.0003895604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00965081,"about_ca_system_score_gemma":0.004915007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6642559,"about_ca_topic_score_gemma":0.8578423,"domain_scores_codex":[0.9994169,0.0001508241,0.00001353505,0.00007625615,0.0000793636,0.0002630567],"domain_scores_gemma":[0.9988552,0.0002138931,0.0002041042,0.00006517724,0.0002238393,0.0004376976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001877887,0.00005425249,0.1085626,0.0001865135,0.0000346705,0.003834109,0.8395839,0.00007824423,0.0007132971,0.007972916,0.01515232,0.02363927],"study_design_scores_gemma":[0.000006250478,0.00002484989,0.31565,0.0001552606,0.00001393542,0.0006571251,0.6350608,0.00005029938,0.0001020667,0.0005564703,0.04768487,0.00003793723],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775252,0.0008349469,0.0000344235,0.006062427,0.0000543613,0.00001468708,0.0002487585,0.000007414859,0.01521776],"genre_scores_gemma":[0.9948038,0.0006676895,0.00007605118,0.0006234734,0.00002378788,0.0000122322,0.0001097872,0.00001327503,0.00366974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6642559,"threshold_uncertainty_score":0.6754428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0308085337832024,"score_gpt":0.2528681847432251,"score_spread":0.2220596509600228,"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."}}