{"id":"W3030890707","doi":"","title":"District Census Handbook, Tirunelveli, Part XII-A, 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; Urban district; Quarter (Canadian coin); Rural area; 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":[0.0006180919,0.0007841842,0.0006293434,0.004776709,0.0004422762,0.00134926,0.001606871,0.0003011318,0.1017911],"category_scores_gemma":[0.003364632,0.000788504,0.0003413349,0.0176044,0.0002310079,0.001211208,0.0005963112,0.0008462394,0.07214013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848194,"about_ca_system_score_gemma":0.003987448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07324769,"about_ca_topic_score_gemma":0.06370329,"domain_scores_codex":[0.9993808,0.0001119373,0.0001102685,0.0001122111,0.0002062871,0.00007830692],"domain_scores_gemma":[0.9983174,0.0002437154,0.0001728292,0.0001967274,0.0009750763,0.00009437357],"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":[0.00004101276,0.00001851125,0.002746055,0.000574827,0.00001218987,0.00002990442,0.0001677604,0.0003284623,0.0001227149,0.002335742,0.9625157,0.03110717],"study_design_scores_gemma":[0.00002046701,0.00002058281,0.02929296,0.0002355211,0.00001295853,0.0001109415,0.0004120212,0.0002420715,0.00009790173,0.00064033,0.9688998,0.00001433364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003465528,0.004363218,0.001686064,0.0007015038,0.0008247574,0.000509734,0.9222415,0.001080335,0.06512746],"genre_scores_gemma":[0.02574377,0.01025889,0.006718106,0.0004981828,0.0002988956,0.001672698,0.8197829,0.0006427226,0.1343839],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1017911,"threshold_uncertainty_score":0.3405252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087240945877928,"score_gpt":0.1912828792604069,"score_spread":0.1704104698016276,"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."}}