{"id":"W4378374554","doi":"10.1007/s40300-023-00248-1","title":"Foreword to the special issue on “Survey Methods for Statistical Data Integration and New Data Sources”","year":2023,"lang":"en","type":"article","venue":"METRON","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Data science; Computer science; Survey data collection; Statistics; Econometrics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.09039338,0.00009018597,0.0001720645,0.00009817998,0.0004525809,0.0000720075,0.0009901928,0.00009529592,0.0002730367],"category_scores_gemma":[0.1393042,0.0000640255,0.00001292406,0.0005457118,0.0001362551,0.0001475187,0.0003998655,0.0001422068,0.0001140673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002500395,"about_ca_system_score_gemma":0.0001463452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003743357,"about_ca_topic_score_gemma":0.0423943,"domain_scores_codex":[0.982588,0.01626598,0.0001719661,0.0004731709,0.0002009228,0.0002999811],"domain_scores_gemma":[0.9485212,0.0504671,0.00004444946,0.0008044858,0.0000375278,0.0001252365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001567284,0.000009838908,0.0008191944,0.000001557212,0.00001604126,5.624449e-7,0.002067365,0.000001636828,0.00001833475,0.002685883,0.3517232,0.6410891],"study_design_scores_gemma":[0.0001491325,0.0001074303,0.1729104,0.000004086075,0.00002111191,1.642125e-7,0.001141456,0.0008826295,0.00005735208,0.002021598,0.8226212,0.00008350424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01339824,0.00009669544,0.9676332,0.01220314,0.002321187,0.0007344947,0.002629982,0.00007673566,0.0009063245],"genre_scores_gemma":[0.0103087,0.0002255275,0.9322706,0.002646053,0.02209469,0.00006353249,0.006820311,0.0000637878,0.02550678],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6410056,"threshold_uncertainty_score":0.9750795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6970848297137888,"score_gpt":0.6053067870304188,"score_spread":0.09177804268336998,"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."}}