{"id":"W7008598660","doi":"","title":"Censo Nacional de Población y Vivienda. Manual del Empadronador de Áreas Urbanas","year":2008,"lang":"en","type":"other","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Center (category theory); Distribution (mathematics); Quarter (Canadian coin); Census","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":[0.001781115,0.0006789316,0.0004705153,0.003350272,0.001427272,0.002421538,0.001198414,0.000742204,0.08644263],"category_scores_gemma":[0.003422343,0.0005469337,0.0002384787,0.005118785,0.0006263177,0.001592065,0.00136472,0.00127626,0.03543955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032676,"about_ca_system_score_gemma":0.00568549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1975615,"about_ca_topic_score_gemma":0.2246448,"domain_scores_codex":[0.9992132,0.0001474578,0.00009035043,0.0001105465,0.000350326,0.00008802454],"domain_scores_gemma":[0.9979277,0.0003372878,0.0002380285,0.0002890144,0.0009813395,0.0002266589],"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":[0.00001947488,0.00001591908,0.002688833,0.0001960141,0.000003708511,0.00004257544,0.0004461068,0.0001031358,0.000114154,0.007739821,0.9157466,0.07288354],"study_design_scores_gemma":[0.000005033325,0.000003267052,0.006258088,0.0001183705,0.000002487189,0.00002608714,0.0002587995,0.00003724984,0.00004293383,0.0003497457,0.9928926,0.000005346181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003728599,0.01437675,0.003963999,0.005901974,0.00263668,0.0004935567,0.1707549,0.001719949,0.7964236],"genre_scores_gemma":[0.03150116,0.02190941,0.01172118,0.001018839,0.0005364735,0.001599723,0.08755939,0.0008969123,0.843257],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1975615,"threshold_uncertainty_score":0.3928231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141390673204793,"score_gpt":0.1936381970846362,"score_spread":0.1822242903525883,"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."}}