{"id":"W3136384297","doi":"","title":"District Census Handbook, Navsari, Part XII-A & B, Series-25","year":2016,"lang":"en","type":"article","venue":"Census Library, India","topic":"Linguistics and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Population; Urban agglomeration; Socioeconomics; Quarter (Canadian coin); Demography; Archaeology; Sociology","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":[0.0008336214,0.0008245434,0.0006974061,0.004613153,0.0005105267,0.001589926,0.001762611,0.0003612953,0.109805],"category_scores_gemma":[0.004628545,0.0008941274,0.0003622986,0.01830171,0.0002415734,0.001533704,0.0006034528,0.001052924,0.07375731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002081699,"about_ca_system_score_gemma":0.005124826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08911119,"about_ca_topic_score_gemma":0.07644025,"domain_scores_codex":[0.9992267,0.0001454905,0.0001335912,0.0001295117,0.0002815907,0.00008307454],"domain_scores_gemma":[0.9972994,0.0003449548,0.0002352248,0.0002077434,0.001789768,0.0001228972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000025243,0.00001306244,0.001460378,0.0003521128,0.000007916066,0.00001326946,0.00008470064,0.0001944478,0.00005408117,0.001798455,0.9769369,0.01905947],"study_design_scores_gemma":[0.00002189513,0.0000152051,0.01934104,0.0002389021,0.000009844984,0.00005694143,0.0003720868,0.0001927914,0.00007146395,0.0006514852,0.9790154,0.00001300809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002017861,0.003539011,0.001361423,0.000762438,0.001069663,0.0005234683,0.9275031,0.0008134894,0.06240956],"genre_scores_gemma":[0.01657384,0.009922844,0.00688018,0.0006463429,0.0003507562,0.002110993,0.8355706,0.0005522449,0.1273921],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.109805,"threshold_uncertainty_score":0.3673344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03112650735165184,"score_gpt":0.2041797021622678,"score_spread":0.1730531948106159,"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."}}