{"id":"W6906824306","doi":"10.18128/d020.v7.1","title":"Integrated Public Use Microdata Series, International: Version 7.1","year":2018,"lang":"en","type":"dataset","venue":"Institute for Social Research and Data Innovation","topic":"","field":"","cited_by":22,"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":[0.002755304,0.001720206,0.001269581,0.006043504,0.0006305384,0.002755529,0.002588707,0.0009831673,0.08196585],"category_scores_gemma":[0.01497655,0.001111725,0.0007945119,0.02017789,0.0004439739,0.002544505,0.001963855,0.002535378,0.1117969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856455,"about_ca_system_score_gemma":0.004399444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02798069,"about_ca_topic_score_gemma":0.02425845,"domain_scores_codex":[0.9976102,0.0003911762,0.0005743067,0.0003990082,0.0007152156,0.0003101502],"domain_scores_gemma":[0.9940982,0.001294078,0.0009061764,0.001188197,0.002174098,0.0003391927],"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":[0.000028052,0.00001447307,0.0009743521,0.0002921218,0.00001689926,0.00001381478,0.00003672433,0.0001858551,0.00003902096,0.0008773786,0.9948278,0.002693408],"study_design_scores_gemma":[0.0001068998,0.00000708064,0.006824237,0.0002238695,0.00001580185,0.0000403166,0.000109497,0.0002014043,0.0001991403,0.001353127,0.9908946,0.0000240098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009562431,0.00002535387,0.0001779074,0.00004838412,0.00001902612,0.00002040854,0.9987226,0.000239006,0.0006516937],"genre_scores_gemma":[0.0003621682,0.00005988749,0.0004555107,0.0000203936,0.000009487485,0.0002274264,0.997938,0.0001347183,0.0007924544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08196585,"threshold_uncertainty_score":0.2742031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4552903685769755,"score_gpt":0.4852213503997987,"score_spread":0.02993098182282322,"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."}}