{"id":"W3134410211","doi":"","title":"District Census Handbook, Amerli, Part XII A & B, Series-25","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; Urban agglomeration; Population; 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":[0.0007532624,0.0007608359,0.0005825293,0.004758617,0.0003900515,0.001257569,0.001468337,0.0003067653,0.09224103],"category_scores_gemma":[0.004007179,0.0008010822,0.0003304954,0.0201195,0.0002022854,0.001376263,0.0004648305,0.000911026,0.05735943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889693,"about_ca_system_score_gemma":0.004312122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09882598,"about_ca_topic_score_gemma":0.08809033,"domain_scores_codex":[0.9993703,0.0001127679,0.0001184233,0.0001071301,0.0002258673,0.0000656042],"domain_scores_gemma":[0.9974165,0.0003505335,0.0002551859,0.0001936938,0.001672917,0.0001111232],"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":[0.00002725676,0.00001344673,0.00172643,0.0003181697,0.000009876124,0.00001294099,0.00007703188,0.0002022884,0.00006120736,0.001691856,0.9795379,0.01632152],"study_design_scores_gemma":[0.00002542169,0.00001609355,0.02209513,0.0001975061,0.00001198834,0.00006600767,0.0003066465,0.0002316156,0.00008575909,0.0007167208,0.9762339,0.0000132598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001802429,0.002447106,0.001354323,0.0005748145,0.0007006552,0.0003086567,0.9510105,0.0006175046,0.04118397],"genre_scores_gemma":[0.01487363,0.007019723,0.006251208,0.0005429168,0.0002611912,0.001342315,0.8898755,0.0004515751,0.07938202],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09882598,"threshold_uncertainty_score":0.3085769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03180032657565927,"score_gpt":0.2091814505601101,"score_spread":0.1773811239844508,"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."}}