{"id":"W6888006839","doi":"10.18128/d020.v7.2","title":"Integrated Public Use Microdata Series, International: Version 7.2","year":2019,"lang":"en","type":"dataset","venue":"Institute for Social Research and Data Innovation","topic":"","field":"","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Microdata (statistics); Public use; Dissemination; Population; Population statistics; American Community Survey","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":[0.002556332,0.00159473,0.001170458,0.005434181,0.000603098,0.002726572,0.00230276,0.0009948778,0.09428197],"category_scores_gemma":[0.01441893,0.001177555,0.0008324915,0.02011998,0.0004097258,0.002378224,0.001856479,0.002331279,0.1345601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001880293,"about_ca_system_score_gemma":0.004340632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03099476,"about_ca_topic_score_gemma":0.02729641,"domain_scores_codex":[0.997621,0.0004031658,0.0006168328,0.0004138562,0.0006439199,0.000301287],"domain_scores_gemma":[0.9941862,0.00139087,0.000826521,0.001224247,0.002056383,0.0003158013],"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":[0.00002715833,0.00001201844,0.0008583472,0.0002948387,0.00001778982,0.00001314494,0.00003386676,0.0001776884,0.00004876868,0.0008528391,0.9951516,0.002512013],"study_design_scores_gemma":[0.0001150266,0.000007171463,0.006277798,0.0002218982,0.00001721541,0.00003967635,0.0001005598,0.0001869866,0.0002168793,0.00133521,0.9914546,0.00002694275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007238346,0.0000198138,0.000153192,0.00004545145,0.00001601864,0.00001644283,0.9988262,0.0001888159,0.0006615845],"genre_scores_gemma":[0.0003420087,0.00005262652,0.0004446325,0.00002588811,0.000008097869,0.0002042088,0.9978468,0.0001366217,0.0009391019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09428197,"threshold_uncertainty_score":0.3154046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.502379920266412,"score_gpt":0.4884714006036063,"score_spread":0.01390851966280571,"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."}}