{"id":"W2741572302","doi":"10.1007/978-1-4939-6640-0","title":"Statistical Analysis with Measurement Error or Misclassification","year":2017,"lang":"en","type":"book","venue":"Springer series in statistics","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":146,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08589023,0.002023299,0.003449877,0.003403122,0.0006372372,0.003332579,0.003550089,0.002778701,0.006271285],"category_scores_gemma":[0.3555099,0.0011455,0.002598565,0.004456054,0.005725915,0.004684899,0.002815443,0.00583034,0.002669283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169259,"about_ca_system_score_gemma":0.002623864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007289303,"about_ca_topic_score_gemma":0.0006485719,"domain_scores_codex":[0.9001219,0.07202607,0.008250015,0.007019829,0.01201311,0.0005690561],"domain_scores_gemma":[0.5792888,0.366081,0.01083055,0.03276506,0.01047204,0.0005625657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001767501,0.00007885871,0.007214903,0.003203953,0.001587878,0.0005066829,0.001199784,0.005410259,0.000529582,0.2755294,0.1618568,0.5427049],"study_design_scores_gemma":[0.0000314573,0.0000944464,0.002872971,0.001319739,0.0004686056,0.001091774,0.0002668249,0.02804277,0.001275136,0.897324,0.06712914,0.00008329892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001669202,0.0176904,0.9543164,0.01035807,0.008796249,0.0001286225,0.0005752684,0.0009334981,0.005532308],"genre_scores_gemma":[0.1158293,0.02653511,0.7734861,0.02042698,0.02403113,0.002079156,0.002111035,0.003604767,0.03189649],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08589023,"threshold_uncertainty_score":0.4542364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3889613763643948,"score_gpt":0.4725584168177415,"score_spread":0.08359704045334676,"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."}}