{"id":"W3126423890","doi":"10.25360/01-2021-00002","title":"Urbanizing Uttarpara: Philanthropy, Improvement, Education, c.1846 to c.1865","year":2021,"lang":"en","type":"book","venue":"perspectivia.net","topic":"Social and Economic Development in India","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Geography; Elite; Settlement (finance); Quarter (Canadian coin); Economic growth; Economy; Socioeconomics; Sociology; Political science; Archaeology; Business; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002135648,0.0002616656,0.0001356071,0.001022313,0.008772626,0.002086125,0.0005156405,0.0006069561,0.005713766],"category_scores_gemma":[0.000684734,0.0001842351,0.0001116629,0.003076534,0.006137758,0.001073748,0.002621637,0.001271926,0.000481947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008846326,"about_ca_system_score_gemma":0.004551343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1245732,"about_ca_topic_score_gemma":0.2593727,"domain_scores_codex":[0.9996485,0.00006078654,0.00001026922,0.00005169318,0.00004965532,0.0001791648],"domain_scores_gemma":[0.9998129,0.00004325749,0.00004892189,0.00001315465,0.00003210595,0.00004973796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009617561,0.00008947505,0.0369945,0.0005968358,0.00001395303,0.005363306,0.6010659,0.0006108088,0.001154975,0.2265666,0.01702049,0.1104269],"study_design_scores_gemma":[0.000009003213,0.00007593343,0.184784,0.0003097193,0.00001058647,0.001982234,0.0873549,0.00008943536,0.0005748798,0.004108281,0.7206746,0.00002645071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7986242,0.02001075,0.000529327,0.007964784,0.000308573,0.00006785829,0.000490432,0.0000584734,0.1719456],"genre_scores_gemma":[0.9764324,0.005305202,0.0002108732,0.0003454186,0.00009206675,0.00002442303,0.00009678085,0.00001160561,0.01748126],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1245732,"threshold_uncertainty_score":0.2476962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184480589644748,"score_gpt":0.3044642128437633,"score_spread":0.2826194069473158,"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."}}