{"id":"W3158338630","doi":"","title":"District Census Handbook, Tiruvannamalai, Part XII-B, Series-33","year":2016,"lang":"en","type":"article","venue":"Census Library, India","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Population; Socioeconomics; Quarter (Canadian coin); Rural area; Urban district; 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":[0.0005921859,0.0009450368,0.0005562509,0.004370164,0.0004854184,0.001161507,0.001600855,0.0003114197,0.1124868],"category_scores_gemma":[0.002875109,0.0008466823,0.0002970715,0.01863414,0.0002501266,0.001270654,0.0005665036,0.0009117381,0.06349498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828268,"about_ca_system_score_gemma":0.004084497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08582857,"about_ca_topic_score_gemma":0.08061145,"domain_scores_codex":[0.9995391,0.00008533862,0.00008504491,0.00008339887,0.000151013,0.00005608734],"domain_scores_gemma":[0.99827,0.0002119033,0.0001907365,0.0001569538,0.001061977,0.0001083843],"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":[0.00004330726,0.0000240373,0.004132317,0.0006547421,0.00001311263,0.00004149967,0.0003131205,0.0002974352,0.0002014533,0.002094495,0.9613509,0.03083359],"study_design_scores_gemma":[0.00002582925,0.00002463735,0.04798792,0.0002498752,0.00001396502,0.0001218434,0.0006975973,0.0002572233,0.0001144777,0.0006013077,0.9498885,0.00001669195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004818146,0.003869249,0.001282028,0.0008879134,0.0006998785,0.0006394324,0.9237856,0.0009569691,0.06306067],"genre_scores_gemma":[0.03046358,0.01076032,0.007074917,0.000566125,0.0003203338,0.002662422,0.8041615,0.000547202,0.1434435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1124868,"threshold_uncertainty_score":0.3763059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459383821309106,"score_gpt":0.2529500681754838,"score_spread":0.2283562299623927,"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."}}