{"id":"W3133189825","doi":"","title":"District Census Handbook, Mahesana, Part XII-A & B, Series-25","year":2016,"lang":"en","type":"article","venue":"Census Library, India","topic":"Politics and Conflicts in Afghanistan, Pakistan, and Middle East","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Urban agglomeration; Population; 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":[0.000570852,0.0007547123,0.0005594555,0.004237885,0.0005319372,0.001507296,0.00163475,0.0003726853,0.1212072],"category_scores_gemma":[0.003178861,0.0007704459,0.0002520524,0.01599944,0.0002090897,0.001366903,0.0005075417,0.0009088325,0.06170093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053938,"about_ca_system_score_gemma":0.004705417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08441387,"about_ca_topic_score_gemma":0.08463226,"domain_scores_codex":[0.9994625,0.00009766498,0.00008707013,0.00009604066,0.0002001289,0.00005646951],"domain_scores_gemma":[0.9975801,0.0003402607,0.0002154137,0.0001543418,0.001576628,0.0001333029],"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":[0.000031972,0.00001919505,0.001915266,0.0003452119,0.00000794778,0.00001700737,0.0001191883,0.0002056052,0.00007662776,0.001750392,0.9760072,0.01950446],"study_design_scores_gemma":[0.0000260219,0.00001830339,0.02835434,0.0002317067,0.000009908177,0.00006417992,0.000529667,0.0002614041,0.0000972956,0.0006334814,0.9697584,0.00001529506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003261238,0.003466787,0.001151249,0.0008535281,0.000873806,0.0005876614,0.9226887,0.0008068343,0.0663101],"genre_scores_gemma":[0.02227413,0.009084758,0.006104774,0.000633774,0.0003758209,0.002343292,0.7761435,0.0004804556,0.1825594],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1212072,"threshold_uncertainty_score":0.4054785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438178125571096,"score_gpt":0.2588637690516308,"score_spread":0.2344819877959198,"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."}}