{"id":"W3209766318","doi":"","title":"District Census Handbook, Rupnagar, Part XII A & B, Series-4, Punjab","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 agglomeration; Quarter (Canadian coin); Rural area; Demography; Sociology; Political science; Archaeology","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":[0.0009999879,0.001175319,0.0008594863,0.004853102,0.0006895386,0.001533727,0.002003477,0.0003619596,0.107333],"category_scores_gemma":[0.004157744,0.001226002,0.0004162256,0.01820772,0.0003231437,0.001608351,0.0005867414,0.001483354,0.04921736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426267,"about_ca_system_score_gemma":0.004418579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06368609,"about_ca_topic_score_gemma":0.05689896,"domain_scores_codex":[0.9991261,0.0001742512,0.0001689841,0.0001756404,0.0002611338,0.00009388596],"domain_scores_gemma":[0.996748,0.0004386477,0.000293482,0.0002819513,0.002063946,0.0001740464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004444899,0.00004014059,0.003596108,0.0004672365,0.00001771632,0.00003030869,0.0001657182,0.0003110905,0.00009642071,0.001843046,0.961538,0.03184969],"study_design_scores_gemma":[0.00005725991,0.00005294262,0.06417384,0.0003494017,0.00002301077,0.0001765493,0.0007056822,0.00038087,0.000118049,0.0009358436,0.9329984,0.00002822952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005910925,0.004339174,0.001815015,0.001026328,0.001231644,0.0007610337,0.9234959,0.001227713,0.06019211],"genre_scores_gemma":[0.02908665,0.009440035,0.01183921,0.0007963025,0.0004078105,0.002574344,0.8242797,0.0008056803,0.1207704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.107333,"threshold_uncertainty_score":0.3590646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344830928472972,"score_gpt":0.2494669564860113,"score_spread":0.2260186472012816,"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."}}