{"id":"W3027628918","doi":"","title":"District Census Handbook, Thiruvarur, Part XII-A & B, Series-33","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; Rural area; Urban district; Quarter (Canadian coin); Demography; Archaeology; Sociology; Political science; Environmental planning","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":[0.0006337031,0.0008515506,0.0006797357,0.004612544,0.0004684515,0.00125812,0.001604647,0.0002959506,0.09660482],"category_scores_gemma":[0.003321217,0.000796031,0.0003375497,0.01789151,0.0002530681,0.001177832,0.0005496641,0.0009138115,0.06160649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633741,"about_ca_system_score_gemma":0.00405963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08076604,"about_ca_topic_score_gemma":0.06494353,"domain_scores_codex":[0.9994222,0.0001127323,0.0001064282,0.0001033535,0.0001881333,0.00006725767],"domain_scores_gemma":[0.9978289,0.0003202271,0.0002050683,0.0002070544,0.001320298,0.0001184295],"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":[0.00003756539,0.00001844749,0.002565466,0.0004437017,0.00001148756,0.00002712715,0.0001374035,0.0003009457,0.0001063828,0.00205369,0.9695781,0.02471952],"study_design_scores_gemma":[0.000026129,0.00002623417,0.03229851,0.0002274952,0.00001366788,0.0001127556,0.0004493505,0.0002772555,0.0001081001,0.0007567126,0.9656873,0.00001642463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003886431,0.004159251,0.00172074,0.0008449255,0.0009869144,0.0005484641,0.9338971,0.00108777,0.05286838],"genre_scores_gemma":[0.02484067,0.009774472,0.007515056,0.0005875795,0.0003710465,0.001667113,0.8294855,0.0006066095,0.125152],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09660482,"threshold_uncertainty_score":0.3231753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987127042282795,"score_gpt":0.1910987760301706,"score_spread":0.1712275056073427,"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."}}