{"id":"W6969339480","doi":"10.5683/sp2/9xvonu","title":"LAPOP: Uruguay 2010","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"Military Strategy and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Latin Americans; Public opinion; Democracy; Government (linguistics); Politics; Institution; Voting","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":[0.0007650068,0.001467583,0.001101248,0.002599622,0.0008376278,0.002194424,0.001656193,0.0008498954,0.03424088],"category_scores_gemma":[0.003366294,0.0005420886,0.0008501918,0.004750156,0.0002693017,0.001161936,0.001601604,0.001056749,0.0520874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551904,"about_ca_system_score_gemma":0.001562887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1495946,"about_ca_topic_score_gemma":0.178713,"domain_scores_codex":[0.9993753,0.0001427339,0.00006916991,0.0001801943,0.0001116105,0.0001210132],"domain_scores_gemma":[0.9987997,0.0001057513,0.0001375534,0.0002250404,0.0006031626,0.0001288572],"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":[0.0001200648,0.00002705943,0.003837838,0.0003280584,0.00003405036,0.0000310888,0.0000573486,0.0002448112,0.00006512922,0.0003732254,0.9911494,0.00373183],"study_design_scores_gemma":[0.0001897968,0.00003268625,0.03127124,0.0003996213,0.00004129042,0.00007069717,0.0003602075,0.001119246,0.0003406825,0.0006438026,0.9654915,0.00003924183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008028826,0.0001569531,0.00005051968,0.00009023105,0.00004753513,0.00001285478,0.9972298,0.0002682783,0.001340999],"genre_scores_gemma":[0.001547233,0.00008441347,0.0001376473,0.0000372299,0.00001835529,0.00006037783,0.9965139,0.00006696065,0.00153391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1495946,"threshold_uncertainty_score":0.2974477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111439858125488,"score_gpt":0.204839948068717,"score_spread":0.1937255494874621,"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."}}