{"id":"W3131126067","doi":"","title":"District Census Handbook, Gandhinagar, Part XII-A & B, Series-25","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; Urban agglomeration; Population; Socioeconomics; Quarter (Canadian coin); Rural area; Demography; Political science; Sociology; Archaeology; 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":[0.000570866,0.0009953518,0.0007156299,0.004399108,0.0004769365,0.001279372,0.001630238,0.000340217,0.07587476],"category_scores_gemma":[0.002399333,0.0009167979,0.0003338257,0.01714161,0.0002832143,0.001118992,0.0004996203,0.001036683,0.04714288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002237941,"about_ca_system_score_gemma":0.004822759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1455533,"about_ca_topic_score_gemma":0.1261315,"domain_scores_codex":[0.9995347,0.00008084787,0.00008028116,0.00009704817,0.0001541187,0.00005300323],"domain_scores_gemma":[0.9984927,0.0002119764,0.0001362185,0.0001448044,0.0009310725,0.00008323247],"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":[0.00004184873,0.00002386079,0.003060809,0.0005857938,0.00001770885,0.00003553756,0.000162251,0.000470927,0.0001421111,0.002597105,0.9578887,0.03497331],"study_design_scores_gemma":[0.00002845824,0.00002379681,0.04225764,0.0002801967,0.00001616752,0.0001049733,0.0004127204,0.0003110767,0.0001191053,0.0007611824,0.9556664,0.0000184004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003819743,0.005816669,0.001283654,0.0007167413,0.001028109,0.0005620482,0.9333376,0.0008333078,0.05260215],"genre_scores_gemma":[0.02466248,0.01381402,0.007606213,0.0005641619,0.0002976921,0.001566714,0.8231485,0.0004577626,0.1278824],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1455533,"threshold_uncertainty_score":0.2894121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891626866138281,"score_gpt":0.1911054752891746,"score_spread":0.1721892066277918,"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."}}