{"id":"W3135491218","doi":"","title":"District Census Handbook, Patan, Part XII-A & B, Series-25","year":2016,"lang":"en","type":"article","venue":"Census Library, India","topic":"Asian Geopolitics and Ethnography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Population; Urban agglomeration; Socioeconomics; Quarter (Canadian coin); Demography; Archaeology; Sociology","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":[0.000763133,0.0007755765,0.0005915533,0.004546578,0.000525415,0.001531795,0.001610487,0.000335767,0.1055943],"category_scores_gemma":[0.004104763,0.0009252967,0.0003152154,0.01905913,0.000237566,0.001477501,0.0005847698,0.00101595,0.0629736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845732,"about_ca_system_score_gemma":0.004682265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07296838,"about_ca_topic_score_gemma":0.0637137,"domain_scores_codex":[0.9993043,0.0001461273,0.0001196047,0.0001154962,0.0002417395,0.00007278423],"domain_scores_gemma":[0.9974043,0.000321814,0.0002407085,0.0002151625,0.001698961,0.0001191078],"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":[0.0000300699,0.00001655802,0.001798277,0.0003374469,0.00000915192,0.00001798798,0.0001057035,0.0002322325,0.00007550984,0.001882768,0.9748728,0.02062139],"study_design_scores_gemma":[0.00002252999,0.00001597601,0.0235787,0.0001827013,0.000009696833,0.0000673773,0.0004083927,0.0002474432,0.00009489417,0.0006757963,0.9746831,0.00001337845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00276647,0.002762201,0.001777149,0.0007684877,0.0009338962,0.0006008357,0.9216887,0.0008291033,0.06787323],"genre_scores_gemma":[0.0202411,0.00761338,0.007922694,0.0005746423,0.0003053154,0.002331811,0.8239451,0.0005289302,0.136537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1055943,"threshold_uncertainty_score":0.3532481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003076039261952,"score_gpt":0.2531609654604142,"score_spread":0.2331302050677947,"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."}}