{"id":"W6999162506","doi":"","title":"Censos Nacionales VIII de Población III de Vivienda. Manual de Empadronador. 1","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); Latin Americans; Quarter (Canadian coin)","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":[0.001890328,0.0008559068,0.000546347,0.002615302,0.001367589,0.002513123,0.001252752,0.001076584,0.110318],"category_scores_gemma":[0.003130227,0.0006455914,0.0002891567,0.003675509,0.0006408637,0.001847568,0.001196418,0.001721393,0.04504424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542037,"about_ca_system_score_gemma":0.00341742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0435759,"about_ca_topic_score_gemma":0.05665418,"domain_scores_codex":[0.9990942,0.0002364561,0.00009532359,0.0001156568,0.0003422578,0.0001160585],"domain_scores_gemma":[0.9990095,0.0002297977,0.0001428851,0.0001634454,0.000364302,0.00008997058],"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":[0.000046512,0.00003427657,0.001392063,0.000274637,0.00000550779,0.00006140791,0.0006883144,0.000127373,0.0002100674,0.02661909,0.8596513,0.1108895],"study_design_scores_gemma":[0.000005188842,0.000005264411,0.00224454,0.0001573855,0.000001809593,0.00002834683,0.0001361211,0.00002245741,0.00005080376,0.0009497857,0.9963937,0.000004478094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002844585,0.02126113,0.00390964,0.003314435,0.00215561,0.0004241895,0.050617,0.001159648,0.9143138],"genre_scores_gemma":[0.01946191,0.02228926,0.01014208,0.0008309018,0.0005211106,0.001679507,0.03708621,0.0008254513,0.9071636],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.110318,"threshold_uncertainty_score":0.3690504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131775968674079,"score_gpt":0.1971249446112178,"score_spread":0.185807184924477,"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."}}