{"id":"W3216176914","doi":"","title":"District Census Handbook, Ahmadnagar, Part-B, 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":[0.0006184069,0.0008295999,0.0006673514,0.004201972,0.0004988332,0.001218088,0.001513048,0.0003201963,0.08421888],"category_scores_gemma":[0.002804835,0.0008119607,0.0003165645,0.01606242,0.0002420855,0.001192314,0.000470413,0.001008623,0.05873544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652144,"about_ca_system_score_gemma":0.003886623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0832449,"about_ca_topic_score_gemma":0.07584061,"domain_scores_codex":[0.9994055,0.0001029931,0.00010037,0.000106729,0.000211784,0.00007264681],"domain_scores_gemma":[0.9977174,0.0003106077,0.0002323692,0.0001892764,0.001434406,0.0001159466],"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":[0.00003334424,0.00001740733,0.001779514,0.0003520274,0.0000107348,0.00002194223,0.00009874477,0.0002341801,0.00007483461,0.001794425,0.9740563,0.02152664],"study_design_scores_gemma":[0.00002426942,0.00002248816,0.02983459,0.0001940368,0.00001276581,0.0001185414,0.0003867478,0.0002213172,0.00009193401,0.0006442131,0.968433,0.00001615761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004216887,0.006309028,0.001644379,0.001174423,0.00135845,0.0004367413,0.9287665,0.0008708945,0.05522268],"genre_scores_gemma":[0.02673129,0.01483514,0.007675579,0.0006489251,0.0005522002,0.001323163,0.8307343,0.0006047403,0.1168946],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08421888,"threshold_uncertainty_score":0.2817402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234124356283249,"score_gpt":0.1936472356307284,"score_spread":0.1713059920678959,"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."}}