{"id":"W3216967831","doi":"","title":"District Census Handbook, Jagatsinghapur, Part-A & B, 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; Rural area; Quarter (Canadian coin); Urban district; Demography; Sociology; Archaeology; Political science; Environmental planning; 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":[0.000825501,0.001135946,0.0007631748,0.005300502,0.0006875726,0.001466147,0.001890222,0.0003731558,0.07743272],"category_scores_gemma":[0.003676349,0.001111028,0.0003640068,0.02064175,0.0002913506,0.001718627,0.0006399796,0.001145695,0.04034843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800136,"about_ca_system_score_gemma":0.004779237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08431556,"about_ca_topic_score_gemma":0.08259534,"domain_scores_codex":[0.9993166,0.0001221189,0.0001505433,0.0001445261,0.0001911966,0.0000750683],"domain_scores_gemma":[0.9968977,0.0004197249,0.0003543233,0.0002629794,0.001898074,0.0001671511],"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":[0.00005336797,0.00005067249,0.006915058,0.000765619,0.00002101832,0.00004430744,0.0003459056,0.0003053661,0.0001639181,0.001998791,0.9561533,0.03318265],"study_design_scores_gemma":[0.00004405876,0.00003648721,0.07585586,0.000378693,0.00002380823,0.000167808,0.001089109,0.0002719169,0.0001603987,0.0007171253,0.921231,0.00002376962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006586117,0.00427345,0.001228184,0.0007988186,0.0008393695,0.0007888644,0.9308146,0.000820445,0.05385017],"genre_scores_gemma":[0.02863416,0.01180332,0.01039793,0.0006299848,0.0003924608,0.003521143,0.8287142,0.0006450487,0.1152618],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08431556,"threshold_uncertainty_score":0.2590383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405037840515484,"score_gpt":0.2544784293120058,"score_spread":0.230428050906851,"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."}}