{"id":"W3083474842","doi":"","title":"District Census Handbook, Nashik, Part-B, Part-A & B, Series-28","year":2016,"lang":"en","type":"article","venue":"Census Library, India","topic":"Animal Diversity and Health Studies","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":[0.0007655716,0.0008559219,0.0005986288,0.004756401,0.0005461042,0.001177518,0.001802614,0.000318557,0.09583573],"category_scores_gemma":[0.004023689,0.000903004,0.0003041507,0.01716004,0.0002284568,0.001416634,0.0005666871,0.001041516,0.05355716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002674786,"about_ca_system_score_gemma":0.006333559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1655633,"about_ca_topic_score_gemma":0.1834013,"domain_scores_codex":[0.9993646,0.0001088354,0.00011945,0.000108358,0.0002244298,0.0000743359],"domain_scores_gemma":[0.9967061,0.0003581661,0.0002682555,0.0002289425,0.002292183,0.0001463277],"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":[0.00003795199,0.00002016988,0.002619092,0.0003833723,0.00001015144,0.000020153,0.00008981022,0.0003108212,0.00009023132,0.001767459,0.9738337,0.02081698],"study_design_scores_gemma":[0.00003321001,0.00001945714,0.03381526,0.0002607453,0.00001219605,0.0001007893,0.0004828426,0.0003357854,0.0001188586,0.000670498,0.9641307,0.00001969765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002414211,0.00249387,0.001297391,0.0006747716,0.0008200121,0.0004990546,0.9451556,0.0005429587,0.04610219],"genre_scores_gemma":[0.01747366,0.006655178,0.007564447,0.000439248,0.0002279141,0.00167645,0.8580124,0.000471214,0.1074795],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1655633,"threshold_uncertainty_score":0.3291992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823060850635505,"score_gpt":0.2094015365224085,"score_spread":0.1711709280160534,"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."}}