{"id":"W3216000812","doi":"","title":"District Census Handbook, Gadchiroli, Part XII-A & B, Series-28","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); Rural area; Demography; Sociology; Political science; 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":[0.0006067583,0.0008822684,0.0006693671,0.00470787,0.0004423279,0.001343516,0.001468316,0.0002974441,0.107502],"category_scores_gemma":[0.003238881,0.0008421034,0.0003391967,0.01689026,0.0002503643,0.001235402,0.0005560224,0.001007839,0.07387403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686429,"about_ca_system_score_gemma":0.003722799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07628665,"about_ca_topic_score_gemma":0.07289059,"domain_scores_codex":[0.9993771,0.0001081695,0.0001047034,0.0001149926,0.0002174147,0.00007767612],"domain_scores_gemma":[0.9978483,0.0003223121,0.0002197818,0.000206065,0.00128257,0.0001210343],"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":[0.00002912186,0.00001201727,0.001633474,0.0003427134,0.000009303015,0.00001746168,0.00008348077,0.0001793295,0.00007677668,0.001636969,0.9770566,0.01892286],"study_design_scores_gemma":[0.0000221123,0.00001753526,0.0242037,0.0002024285,0.00001102755,0.00009683778,0.000293618,0.0001960596,0.00009097587,0.0006539359,0.9741978,0.0000139412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002591581,0.003732098,0.00136974,0.0007942904,0.0009802586,0.0004083985,0.9328098,0.000964344,0.05634955],"genre_scores_gemma":[0.01917902,0.01007538,0.005918911,0.0005784014,0.0003871531,0.001400357,0.8473544,0.0006672474,0.1144391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.107502,"threshold_uncertainty_score":0.35963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950680188535276,"score_gpt":0.1912113344308252,"score_spread":0.1717045325454725,"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."}}