{"id":"W3129355864","doi":"","title":"District Census Handbook, Rajkot, Part XII-A & B, Series-25","year":2016,"lang":"en","type":"article","venue":"Census Library, India","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Urban agglomeration; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008973654,0.0002428047,0.0002233681,0.00005622708,0.0002067608,0.00005561217,0.0004420344,0.0001267,0.01023924],"category_scores_gemma":[0.00002746995,0.0001654389,0.00009429544,0.0002399401,0.0002705352,0.0008069782,0.0004566351,0.0001043841,0.002053569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000564296,"about_ca_system_score_gemma":0.00001114389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001838887,"about_ca_topic_score_gemma":0.00001483124,"domain_scores_codex":[0.9983593,0.00008568633,0.0002644395,0.0004754729,0.0002050192,0.0006100513],"domain_scores_gemma":[0.9991488,0.00008995262,0.0001107866,0.0004230044,0.000002699427,0.00022475],"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":[0.00008231578,0.00008812847,0.2808964,0.00001030435,0.00003236976,0.0001035531,0.00008089485,0.000002740345,0.0004046347,0.002415527,0.6921529,0.02373029],"study_design_scores_gemma":[0.0005514976,0.00009266702,0.3306686,0.00001596327,0.00001473475,0.000008430766,0.0000185625,0.000002614932,0.0005433186,0.000778028,0.6670922,0.0002134128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6008421,0.0003467706,0.0001038155,0.00456147,0.00159413,0.0007242357,0.0003637517,0.0004629038,0.3910008],"genre_scores_gemma":[0.8341331,0.000761224,0.0009861826,0.0007116831,0.00058481,0.0001083525,0.0002493748,0.00008841084,0.1623768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.233291,"threshold_uncertainty_score":0.9987234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008815247918095105,"score_gpt":0.1866190057174478,"score_spread":0.1778037577993527,"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."}}