{"id":"W3132234976","doi":"","title":"District Census Handbook, Narmada, Part XII-A & B, Series-25","year":2016,"lang":"en","type":"article","venue":"Census Library, India","topic":"Eurasian Exchange Networks","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002966613,0.0003079895,0.0003216914,0.0001189954,0.0007139156,0.0002159263,0.0007554647,0.0003264472,0.002105126],"category_scores_gemma":[0.0001818654,0.0002396514,0.0001620684,0.0006691163,0.0006721719,0.001287015,0.0002078309,0.0002547312,0.0004692883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112668,"about_ca_system_score_gemma":0.0002260245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007870662,"about_ca_topic_score_gemma":0.0001062057,"domain_scores_codex":[0.996998,0.0004021689,0.0003802769,0.000544525,0.0005436176,0.001131406],"domain_scores_gemma":[0.998329,0.0003456437,0.0002014194,0.0005136072,0.00004827755,0.0005620531],"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":[0.000101521,0.00009113084,0.03934014,0.00002099172,0.00005492468,0.0002496229,0.003487253,4.304207e-7,0.00008542676,0.02629129,0.8652298,0.06504744],"study_design_scores_gemma":[0.0005346735,0.00006051258,0.01558277,0.0001498161,0.00001891415,0.000008442085,0.0006177269,0.000001021591,0.0005066904,0.00164353,0.9804674,0.0004084566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09227983,0.006791203,0.00009231748,0.0348844,0.008495657,0.001539284,0.001896619,0.00222599,0.8517947],"genre_scores_gemma":[0.8543686,0.004975082,0.0009290534,0.001499368,0.008595444,0.0001010935,0.00030106,0.0001995481,0.1290307],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7620888,"threshold_uncertainty_score":0.9988071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374852219486724,"score_gpt":0.25580785168788,"score_spread":0.2320593294930128,"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."}}