{"id":"W3136775206","doi":"","title":"District Census Handbook, Surat, Part II, 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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009344786,0.0008654263,0.000782073,0.004073506,0.0004929664,0.001483212,0.001653182,0.0003774995,0.1074876],"category_scores_gemma":[0.004638701,0.0009741696,0.0003822919,0.01690378,0.0002555543,0.001502628,0.0005687022,0.001102663,0.07187108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231133,"about_ca_system_score_gemma":0.005126528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1084948,"about_ca_topic_score_gemma":0.099648,"domain_scores_codex":[0.9991913,0.00015478,0.0001495827,0.000133877,0.0002902524,0.0000800643],"domain_scores_gemma":[0.9968507,0.0004562987,0.0002793045,0.000246392,0.002024419,0.0001429168],"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":[0.00003499403,0.0000174833,0.001744926,0.0004007449,0.0000113623,0.00001463406,0.0000889812,0.0002515822,0.00008331879,0.001744465,0.980593,0.01501461],"study_design_scores_gemma":[0.00003314705,0.00002009144,0.02462529,0.0002050437,0.00001136763,0.00006043591,0.0003207095,0.0002436093,0.00009833799,0.0006425053,0.9737251,0.00001425489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001571947,0.001973041,0.001082716,0.0004654147,0.0006724739,0.0003653067,0.9590667,0.0005155117,0.03428703],"genre_scores_gemma":[0.01127126,0.005133431,0.005200544,0.0004638493,0.0002298396,0.001465095,0.8939845,0.0004018692,0.08184958],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1084948,"threshold_uncertainty_score":0.3595819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275000966045641,"score_gpt":0.1935923235634976,"score_spread":0.1708423139030412,"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."}}