{"id":"W3118460024","doi":"","title":"District Census Handbook, Ahmadnagar, Part-A, 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; Rural population; Demography; Sociology; Archaeology; Political science; 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":[0.0006293434,0.0008140113,0.0006649513,0.004263519,0.0005057831,0.00123515,0.001517592,0.0003192094,0.08314097],"category_scores_gemma":[0.002859521,0.0008098346,0.000310085,0.01652522,0.0002440033,0.001209905,0.000473995,0.001010945,0.05747207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667611,"about_ca_system_score_gemma":0.003963842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08228174,"about_ca_topic_score_gemma":0.07550687,"domain_scores_codex":[0.999391,0.0001075488,0.0001030963,0.0001081286,0.0002168859,0.00007341135],"domain_scores_gemma":[0.9976484,0.0003237279,0.0002399129,0.0001943489,0.001478127,0.0001154598],"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":[0.00003369031,0.00001768588,0.001808931,0.0003564061,0.00001097674,0.00002325337,0.0001050672,0.0002399297,0.00007384652,0.001875767,0.9737856,0.02166879],"study_design_scores_gemma":[0.00002404868,0.00002217896,0.02886108,0.0001947465,0.0000127633,0.0001220713,0.0004064124,0.0002230296,0.00008943926,0.0006587998,0.9693693,0.00001615033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004259022,0.006413914,0.001655261,0.00119189,0.001345429,0.000436754,0.9291469,0.000872254,0.05467856],"genre_scores_gemma":[0.02746276,0.01522189,0.007826859,0.0006543022,0.0005565298,0.001336771,0.8316153,0.0006100602,0.1147154],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08314097,"threshold_uncertainty_score":0.2781342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213537753977299,"score_gpt":0.1932400339966326,"score_spread":0.1711046564568597,"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."}}