{"id":"W3030708560","doi":"","title":"District Census Handbook, Tirunelveli, Part XII-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; Socioeconomics; Population; Quarter (Canadian coin); Urban district; 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":[0.0005962251,0.000793568,0.0006238995,0.004664014,0.0004310988,0.001288189,0.001600815,0.0003010078,0.1020161],"category_scores_gemma":[0.003309298,0.0007726034,0.0003376677,0.01719609,0.000229239,0.00117942,0.0005849244,0.0008400505,0.07225708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179747,"about_ca_system_score_gemma":0.003830192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07376513,"about_ca_topic_score_gemma":0.06311461,"domain_scores_codex":[0.9994079,0.0001057691,0.0001048351,0.00010869,0.0001965427,0.00007628084],"domain_scores_gemma":[0.9983931,0.0002289609,0.0001668792,0.0001868715,0.0009324324,0.00009181274],"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":[0.00004153025,0.00001791708,0.002780092,0.0005632928,0.00001221898,0.00002889694,0.0001616975,0.0003307594,0.0001252369,0.002300637,0.9632298,0.03040788],"study_design_scores_gemma":[0.00002102384,0.0000206079,0.03067101,0.0002346297,0.00001317307,0.0001095478,0.0004036729,0.0002457241,0.00009969261,0.0006370323,0.9675294,0.00001433752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003491784,0.004229771,0.001681286,0.0006810878,0.0007940452,0.0004972199,0.9223046,0.001047662,0.0652724],"genre_scores_gemma":[0.02516965,0.009889509,0.006379319,0.0004853965,0.000280997,0.001607278,0.8242626,0.0006118714,0.1313134],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1020161,"threshold_uncertainty_score":0.3412777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112924541232736,"score_gpt":0.1916385409053918,"score_spread":0.1705092954930645,"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."}}