{"id":"W3216859202","doi":"","title":"District Census Handbook, Yavatmal, Part-B, 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; Quarter (Canadian coin); Socioeconomics; 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":[0.0007266686,0.0008601336,0.0006635266,0.004588481,0.0004682502,0.001293927,0.001562477,0.0003274341,0.1045013],"category_scores_gemma":[0.003778444,0.000799181,0.0003256124,0.01590049,0.000245884,0.001209732,0.0005511522,0.001016982,0.06644896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001954625,"about_ca_system_score_gemma":0.004195696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08050815,"about_ca_topic_score_gemma":0.07263984,"domain_scores_codex":[0.9993224,0.0001365824,0.000119272,0.0001219538,0.0002188903,0.00008100247],"domain_scores_gemma":[0.9973549,0.0003543415,0.0002513133,0.000236448,0.001670784,0.0001322281],"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":[0.00004211133,0.00001542028,0.001899617,0.0003804117,0.00001065918,0.00001583183,0.00007773401,0.0002303066,0.00008416794,0.001876003,0.975217,0.02015069],"study_design_scores_gemma":[0.00002657898,0.00002027961,0.022323,0.0002120431,0.00001062381,0.00007992251,0.0002948523,0.0002056204,0.0001043712,0.0006009698,0.9761078,0.00001389327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002278777,0.00333282,0.001327757,0.000653158,0.001015101,0.0003616605,0.9477672,0.0006720649,0.04259139],"genre_scores_gemma":[0.01710503,0.008026041,0.005992016,0.0004896637,0.000331153,0.00140666,0.8671817,0.0005440937,0.09892373],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1045013,"threshold_uncertainty_score":0.3495917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454479869303546,"score_gpt":0.1960053948391445,"score_spread":0.171460596146109,"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."}}