{"id":"W6921277040","doi":"10.6084/m9.figshare.21213494.v1","title":"Additional file 1 of Prospective sampling bias in COVID-19 recruitment methods: experimental evidence from a national randomized survey testing recruitment materials","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; York University","funders":"","keywords":"Table (database); Sample (material); Affect (linguistics); Descriptive statistics; Sampling (signal processing); Test (biology); Data collection; Sampling bias","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03030655,0.0001484031,0.0004988364,0.000165866,0.0005678206,0.00004481212,0.0003237531,0.00008910613,0.9891966],"category_scores_gemma":[0.7162604,0.0001549211,0.00009677596,0.000613582,0.00008770046,0.000193805,0.0002652987,0.0001867089,0.00009572221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053396,"about_ca_system_score_gemma":0.002271933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003595206,"about_ca_topic_score_gemma":0.000709253,"domain_scores_codex":[0.9269549,0.07100161,0.0005755525,0.0004648506,0.000724346,0.0002787162],"domain_scores_gemma":[0.634632,0.3645886,0.0003905893,0.0001010667,0.0001988158,0.00008890898],"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":[0.04312769,0.0002058028,0.0001314989,0.00001607704,0.00007798034,0.00001290195,0.008188903,0.0001408469,0.0008374357,0.00002473931,0.9467629,0.0004732677],"study_design_scores_gemma":[0.05469029,0.0006454618,0.1430763,0.007570037,0.00004932102,0.00002117253,0.02260438,0.0003060058,0.01874689,0.0118398,0.7385253,0.00192506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001890118,0.0003086321,0.00001714235,0.00005943684,0.0001444102,0.002318994,0.9947314,0.00004448258,0.0004854101],"genre_scores_gemma":[0.006994216,0.000003563584,0.07283723,0.0003596309,0.0001555443,0.05749351,0.861897,0.00001858885,0.0002407479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9891009,"threshold_uncertainty_score":0.9985034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8728063817301757,"score_gpt":0.5811332779264499,"score_spread":0.2916731038037258,"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."}}