{"id":"W3030418252","doi":"","title":"District Census Handbook, Thiruvallur, 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; 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":[0.0006631643,0.0008735845,0.0007012002,0.004770781,0.000504775,0.001437863,0.001700226,0.0003090865,0.1089058],"category_scores_gemma":[0.003411354,0.0008339169,0.0003488845,0.01829801,0.0002575517,0.001245329,0.0006108382,0.0009017427,0.07038025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774017,"about_ca_system_score_gemma":0.004209943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08253921,"about_ca_topic_score_gemma":0.06348687,"domain_scores_codex":[0.9993356,0.0001357685,0.0001112768,0.0001168379,0.000222318,0.00007816959],"domain_scores_gemma":[0.9979129,0.0003179816,0.0001935776,0.0002118644,0.001247016,0.0001165417],"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":[0.00003712761,0.0000188168,0.002413511,0.0004315283,0.00001118016,0.00002707588,0.0001455829,0.0002893972,0.00009471623,0.002018179,0.9684955,0.02601737],"study_design_scores_gemma":[0.00002386695,0.00002486191,0.02797431,0.0002225715,0.00001217922,0.0001030252,0.0004257718,0.0002476457,0.00009130791,0.0006982227,0.970161,0.00001528492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003726248,0.004319396,0.001646529,0.0008076823,0.0009960214,0.0005477839,0.922793,0.001246128,0.06391722],"genre_scores_gemma":[0.02534001,0.009785014,0.006879754,0.0005653122,0.0003507099,0.001702552,0.8126082,0.0006653704,0.1421032],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1089058,"threshold_uncertainty_score":0.3643262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061145557608854,"score_gpt":0.1913677987304835,"score_spread":0.170756343154395,"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."}}