{"id":"W3156728800","doi":"","title":"District Census Handbook, Wardha, 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":[0.0008660342,0.000897427,0.000725437,0.004949909,0.0005543557,0.001472433,0.001853478,0.0003342735,0.1172836],"category_scores_gemma":[0.004483338,0.0009872505,0.0003708845,0.01675185,0.0002567831,0.001324882,0.0006238216,0.001157968,0.08050941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724269,"about_ca_system_score_gemma":0.00493888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07077185,"about_ca_topic_score_gemma":0.06777643,"domain_scores_codex":[0.9991203,0.0001882033,0.000148964,0.0001410872,0.0002941039,0.0001073104],"domain_scores_gemma":[0.9963903,0.0004783849,0.0003418845,0.0003370073,0.002281352,0.0001711089],"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":[0.00003362969,0.00001423209,0.001463685,0.0003240602,0.000009584195,0.00001410623,0.00007479688,0.0001799088,0.0000621299,0.001645174,0.9777988,0.01837987],"study_design_scores_gemma":[0.0000267145,0.00002154526,0.01919718,0.0002076873,0.0000102333,0.00007940378,0.0002981061,0.0002120479,0.0000876183,0.000655463,0.9791893,0.00001475315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002239721,0.002656804,0.001562414,0.0006566694,0.00102592,0.0005217765,0.935402,0.0008746999,0.05506004],"genre_scores_gemma":[0.0178538,0.007058216,0.007105543,0.0006107028,0.0003855381,0.001926395,0.8470329,0.0007400189,0.1172869],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1172836,"threshold_uncertainty_score":0.3923528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008327291832298,"score_gpt":0.1909844945027516,"score_spread":0.1709012215844286,"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."}}