{"id":"W3212566128","doi":"","title":"District Census Handbook, Ganjam, Part-A & B, Vol-2, Series-22, Orissa","year":2016,"lang":"en","type":"article","venue":"Census Library, India","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Population; Socioeconomics; Urban district; Rural area; Quarter (Canadian coin); Demography; Archaeology; Environmental planning; Sociology; Political science; 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":[0.000858773,0.001061028,0.0008367797,0.004915835,0.00055822,0.001318999,0.001942878,0.0003895726,0.07832101],"category_scores_gemma":[0.003356594,0.001133277,0.0004032312,0.01638691,0.000326644,0.001484766,0.0006268749,0.001122838,0.04407765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002168601,"about_ca_system_score_gemma":0.004884221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07526747,"about_ca_topic_score_gemma":0.07221574,"domain_scores_codex":[0.9993573,0.0001368478,0.0001228373,0.0001263329,0.0001876337,0.00006913715],"domain_scores_gemma":[0.9979295,0.0002877392,0.0002330596,0.0002268167,0.001213479,0.000109373],"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":[0.00004921792,0.00003405593,0.004462725,0.0007148082,0.00001846943,0.00003107565,0.0002233541,0.0002871799,0.0001889709,0.002643728,0.9560938,0.03525258],"study_design_scores_gemma":[0.00003358523,0.00002865589,0.04909268,0.0002865019,0.00001647504,0.0001117299,0.0005446649,0.0002645629,0.0001299984,0.0006650838,0.9488076,0.00001855678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006288673,0.006884692,0.001714592,0.001270802,0.001369035,0.0009418209,0.9061089,0.001228372,0.074193],"genre_scores_gemma":[0.03165612,0.01472178,0.01398604,0.0009538893,0.0005145594,0.003877508,0.7678874,0.0008791684,0.1655236],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07832101,"threshold_uncertainty_score":0.2620099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168051233947437,"score_gpt":0.2500407980988295,"score_spread":0.2283602857593551,"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."}}