{"id":"W3162734717","doi":"","title":"District Census Handbook, Balaghat, Part XII- A & B, Series-24","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; Urban agglomeration; Socioeconomics; Rural area; Quarter (Canadian coin); 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":[0.0006776723,0.001102959,0.0008888126,0.005331475,0.0005911458,0.001506681,0.002162885,0.0004416514,0.1048601],"category_scores_gemma":[0.003434898,0.00107224,0.0003822589,0.0200956,0.0003302393,0.001451767,0.0006124075,0.001228685,0.0747524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002689374,"about_ca_system_score_gemma":0.00580484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1266602,"about_ca_topic_score_gemma":0.1135306,"domain_scores_codex":[0.9993007,0.0001186418,0.0001235036,0.0001404348,0.0002312408,0.00008548351],"domain_scores_gemma":[0.997604,0.0003490131,0.0002510263,0.0002241541,0.001440952,0.0001308673],"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":[0.00004638321,0.00002750144,0.002916764,0.0005489388,0.00001545054,0.00002656816,0.0001283658,0.0003692067,0.0001188712,0.001808391,0.9656682,0.02832535],"study_design_scores_gemma":[0.00003383542,0.00002831367,0.04427179,0.0002686467,0.00001609048,0.0001057272,0.0003734386,0.0003242762,0.0001340645,0.0007467433,0.9536783,0.00001888735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003237053,0.003879993,0.001105827,0.0006649877,0.0008004872,0.000443092,0.9404454,0.0009737121,0.04844951],"genre_scores_gemma":[0.01767647,0.007852543,0.006024728,0.0005483606,0.000273135,0.00167082,0.8312223,0.0005808677,0.1341508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1266602,"threshold_uncertainty_score":0.3507921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074430400314113,"score_gpt":0.1890706386698549,"score_spread":0.1683263346667137,"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."}}