{"id":"W3135297825","doi":"","title":"District Census Handbook, Surat, Part I, Part XII-A & B, Series-25","year":2016,"lang":"en","type":"article","venue":"Census Library, India","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Population; Socioeconomics; Quarter (Canadian coin); Demography; Sociology; Archaeology","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":[0.0009130965,0.0008522592,0.000783842,0.004013178,0.0004935259,0.001456276,0.001661336,0.0003778295,0.1080705],"category_scores_gemma":[0.00454822,0.0009596641,0.0003755,0.01696025,0.0002552957,0.00149171,0.0005564128,0.00107971,0.0725528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002319398,"about_ca_system_score_gemma":0.005121255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1102661,"about_ca_topic_score_gemma":0.1012692,"domain_scores_codex":[0.9992,0.0001491294,0.0001491462,0.0001347636,0.0002874872,0.00007936832],"domain_scores_gemma":[0.9968677,0.0004458604,0.0002846894,0.0002389647,0.002020386,0.0001423577],"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":[0.00003416481,0.00001755122,0.001758885,0.0003869029,0.00001130231,0.0000144678,0.00008768699,0.0002438725,0.00008115841,0.001655917,0.9808246,0.01488346],"study_design_scores_gemma":[0.00003354646,0.00002064858,0.02535531,0.0002013241,0.00001172544,0.00006237545,0.0003203098,0.0002453683,0.000096555,0.0006257761,0.9730127,0.00001436094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001630113,0.001884666,0.001048005,0.0004546602,0.000649381,0.0003580181,0.9595445,0.0005160544,0.03391465],"genre_scores_gemma":[0.01147183,0.005070908,0.005088217,0.0004524242,0.0002246353,0.001401142,0.8958893,0.0004004466,0.08000115],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1102661,"threshold_uncertainty_score":0.361532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234053690632258,"score_gpt":0.1943803244691087,"score_spread":0.170974955405883,"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."}}