{"id":"W3027579143","doi":"","title":"District Census Handbook, Ghazipur, Part XII-A & B, Vol-II, Series-10, Uttar Pradesh","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; Uttar pradesh; Quarter (Canadian coin); Rural area; Demography; Sociology; Archaeology; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002193328,0.0003599813,0.0004137454,0.0001015409,0.001590912,0.0002026522,0.0006652773,0.000269923,0.00312745],"category_scores_gemma":[0.0003965464,0.000269144,0.0002115516,0.0006107838,0.0007375771,0.0008326467,0.0003524581,0.0001895279,0.0005393915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000838303,"about_ca_system_score_gemma":0.0002643573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001462517,"about_ca_topic_score_gemma":0.00006027248,"domain_scores_codex":[0.9969872,0.0002113623,0.0004365535,0.0006236757,0.0005665863,0.001174616],"domain_scores_gemma":[0.9983971,0.0002192001,0.0002263319,0.0005168968,0.0000985009,0.0005419684],"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":[0.000177734,0.0001347584,0.04464278,0.000024788,0.0001474454,0.0001394014,0.009927602,1.167208e-7,0.00003625792,0.02502498,0.8747981,0.04494603],"study_design_scores_gemma":[0.0007074371,0.0001147024,0.0176545,0.0001023221,0.0000330925,0.000003602527,0.002270818,3.535027e-7,0.0002732354,0.0006869438,0.9777141,0.0004388679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1943345,0.00694091,0.00001798116,0.02822805,0.006556619,0.001495949,0.002350327,0.001625273,0.7584504],"genre_scores_gemma":[0.6650368,0.004293027,0.0005924088,0.001541517,0.006610599,0.0001745108,0.0002333177,0.0001756222,0.3213422],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4707023,"threshold_uncertainty_score":0.9999761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355336826905318,"score_gpt":0.2500425014475066,"score_spread":0.2264891331784534,"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."}}