{"id":"W3135045550","doi":"","title":"District Census Handbook, Anand, 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; Urban agglomeration; 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":[0.0007576011,0.000832712,0.0006587781,0.004888485,0.0004659203,0.001485613,0.001723319,0.0003230282,0.1057129],"category_scores_gemma":[0.00403797,0.0008852308,0.0003741455,0.01898034,0.0002417419,0.001309715,0.0005657873,0.0009779829,0.07650548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841265,"about_ca_system_score_gemma":0.004325546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09166631,"about_ca_topic_score_gemma":0.08051135,"domain_scores_codex":[0.9992443,0.0001263158,0.0001240191,0.0001298844,0.0002971584,0.0000783143],"domain_scores_gemma":[0.9973649,0.0003612967,0.0002396966,0.000247026,0.001666715,0.0001204336],"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":[0.00002464729,0.00001348735,0.00150443,0.000287021,0.000008683161,0.00001457313,0.00007107122,0.0002187453,0.0000662856,0.001770899,0.978383,0.01763718],"study_design_scores_gemma":[0.00001996806,0.00001421324,0.01996909,0.0001673923,0.00001006901,0.00006191061,0.0002592292,0.0002253791,0.00007955372,0.0007128623,0.978467,0.00001331474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002124929,0.002590892,0.001637509,0.0006464098,0.000937138,0.0004662772,0.9300357,0.0009379691,0.06062322],"genre_scores_gemma":[0.01451028,0.007083679,0.006329388,0.0004978672,0.0003009925,0.001382239,0.8567045,0.000523846,0.1126672],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1057129,"threshold_uncertainty_score":0.353645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947449141578308,"score_gpt":0.1917911942784665,"score_spread":0.1723167028626834,"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."}}