{"id":"W7100534653","doi":"","title":"Employing Matching to Alleviate Bias in Survey Data","year":2009,"lang":"en","type":"article","venue":"","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public opinion; Matching (statistics); Measure (data warehouse); Test (biology); Politics; Perception; The Internet; Advice (programming); Survey data collection","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1938772,0.001647953,0.002916303,0.006356522,0.003009659,0.003097655,0.004811182,0.003483426,0.01101326],"category_scores_gemma":[0.4263083,0.001307388,0.003082659,0.01682841,0.003144545,0.004103004,0.005024851,0.002498565,0.002741127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002464391,"about_ca_system_score_gemma":0.004588352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009412349,"about_ca_topic_score_gemma":0.00583457,"domain_scores_codex":[0.7351327,0.2166572,0.01237624,0.01847506,0.01422075,0.003138172],"domain_scores_gemma":[0.7327465,0.1720533,0.02353451,0.06027715,0.01060106,0.0007874097],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001343283,0.0008382339,0.1570844,0.002484178,0.003959952,0.001110772,0.008230232,0.02200761,0.002459086,0.2291749,0.02435082,0.5469565],"study_design_scores_gemma":[0.001759531,0.002741634,0.131274,0.00141815,0.00301018,0.001286021,0.004802282,0.2013808,0.01235016,0.470203,0.1692891,0.0004850064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0261955,0.0005172529,0.9605778,0.001071789,0.0004534247,0.004692818,0.001416751,0.0009384517,0.004136233],"genre_scores_gemma":[0.2935195,0.0004227097,0.6876221,0.001173571,0.0003314249,0.01115584,0.001957723,0.0002132567,0.003603931],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8061228,"threshold_uncertainty_score":0.9940929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054392751695146,"score_gpt":0.3297487088167811,"score_spread":0.2243094336472666,"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."}}