{"id":"W3133980932","doi":"","title":"District Census Handbook, Junagadh, Part XII-A & B, Series-25","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; Urban agglomeration; Socioeconomics; Quarter (Canadian coin); Demography; Sociology; Archaeology","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":[0.0005331572,0.0008585835,0.0005889213,0.003605756,0.0006430105,0.001385961,0.00167284,0.0003542384,0.08674748],"category_scores_gemma":[0.002801057,0.001037038,0.0003776432,0.01833301,0.0002663839,0.001084429,0.0004747721,0.0009782158,0.04270687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002583808,"about_ca_system_score_gemma":0.007968977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2641256,"about_ca_topic_score_gemma":0.2720058,"domain_scores_codex":[0.9995522,0.00006411271,0.00008521107,0.00008659497,0.0001538628,0.00005799679],"domain_scores_gemma":[0.9976889,0.0002401475,0.0001930307,0.0001859406,0.001566294,0.0001257935],"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":[0.00003713454,0.00002212297,0.003703954,0.0005237691,0.00001699049,0.00002453217,0.0001953382,0.0002990534,0.0001205623,0.001592209,0.9685726,0.02489171],"study_design_scores_gemma":[0.00002616603,0.00001826107,0.05270752,0.000272745,0.00002172673,0.00006721277,0.0007209153,0.0002723849,0.0001348989,0.0004899279,0.9452471,0.00002115706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003580765,0.0033376,0.001038777,0.0005986763,0.0009819026,0.0005794458,0.9357349,0.0006313978,0.05351656],"genre_scores_gemma":[0.02196289,0.01093699,0.006782599,0.0004767968,0.0002461085,0.001794625,0.799849,0.000398118,0.1575528],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2641256,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236221220466114,"score_gpt":0.2507340380128083,"score_spread":0.2271119159661969,"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."}}