{"id":"W3156373375","doi":"","title":"District Census Handbook, Bhandara, Part XII-A & B, Series-28","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); Rural area; Rural population; Demography; Sociology; Political science; Archaeology; Law","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":[0.0007985363,0.0009698767,0.0008657459,0.005104485,0.0006053319,0.001539091,0.001815494,0.0003934722,0.09891362],"category_scores_gemma":[0.00421619,0.001108829,0.0003556016,0.0191115,0.0003270307,0.001463401,0.0006453192,0.00137326,0.06804369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002086403,"about_ca_system_score_gemma":0.005526122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09795515,"about_ca_topic_score_gemma":0.0924034,"domain_scores_codex":[0.999159,0.0001888901,0.0001389847,0.0001417723,0.0002757703,0.00009562451],"domain_scores_gemma":[0.9968768,0.0005251335,0.0003060259,0.000283588,0.001841785,0.0001666546],"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":[0.00003690962,0.00002104222,0.002207692,0.0004353388,0.00001406379,0.00002809926,0.000140008,0.0002825276,0.0001058621,0.002395784,0.9684411,0.02589141],"study_design_scores_gemma":[0.0000331013,0.00002856282,0.03882292,0.0003304816,0.00001616239,0.0001444083,0.0004243546,0.0003377891,0.0001134381,0.001071558,0.9586533,0.00002393341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003761724,0.006400352,0.001816303,0.00111009,0.001248952,0.0006432814,0.9164643,0.001148102,0.06740698],"genre_scores_gemma":[0.02794947,0.01403784,0.008878204,0.0007437263,0.0004875539,0.002176269,0.8001259,0.000775301,0.1448258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09891362,"threshold_uncertainty_score":0.3308991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893444342161063,"score_gpt":0.1930668289385403,"score_spread":0.1741323855169297,"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."}}