{"id":"W3029730474","doi":"","title":"District Census Handbook, Thiruvallur, 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; Population; Socioeconomics; Urban district; Quarter (Canadian coin); Rural area; Demography; Archaeology; Sociology; Political science; Environmental planning; Law","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":[0.0006421584,0.0008887415,0.0006975536,0.004667676,0.0004918444,0.001374131,0.001702161,0.0003101891,0.1095256],"category_scores_gemma":[0.003377312,0.0008173259,0.0003468306,0.01798684,0.0002557947,0.001218439,0.0006010867,0.0008944529,0.07085868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172191,"about_ca_system_score_gemma":0.004027733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0831736,"about_ca_topic_score_gemma":0.06293993,"domain_scores_codex":[0.9993619,0.0001285202,0.0001066298,0.0001139054,0.0002123131,0.0000767766],"domain_scores_gemma":[0.9980081,0.0002969876,0.0001873054,0.0002016466,0.001192816,0.0001132628],"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":[0.00003787148,0.00001833068,0.002476325,0.0004258383,0.00001136407,0.00002625921,0.0001412529,0.0002928037,0.00009773029,0.001995147,0.968802,0.02567492],"study_design_scores_gemma":[0.00002459167,0.00002502266,0.02965325,0.0002211229,0.00001251877,0.0001018853,0.0004176188,0.000252402,0.0000932997,0.0006933056,0.9684895,0.00001536051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003749513,0.004156799,0.001641901,0.000781716,0.0009561375,0.0005345501,0.9228755,0.001215592,0.0640882],"genre_scores_gemma":[0.02477924,0.009352788,0.006505502,0.0005469428,0.0003284589,0.001627989,0.8176341,0.0006360253,0.138589],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1095256,"threshold_uncertainty_score":0.3663997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086135356410618,"score_gpt":0.1917222081551023,"score_spread":0.1708608545909961,"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."}}