{"id":"W2894355043","doi":"10.1016/b978-0-12-801631-2.00007-5","title":"Construction and validation of the quality of life measure for dentine hypersensitivity (DHEQ)**This chapter was previously published as: Boiko OV, Baker SR, Gibson BJ, Locker D, Sufi F, Barlow, APS, Robinson PG. Construction and validation of the quality of life measure for dentine hypersensitivity (DHEQ). Journal of Clinical Periodontology 2010; 37: 973–980. doi:10.1111/j.1600-051X.2010.01618.x.","year":2014,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Dental Erosion and Treatment","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Sheffield; GlaxoSmithKline","keywords":"Measure (data warehouse); Philosophy; Computer science; Data mining","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008705887,0.0008705349,0.003303042,0.0002825161,0.0003361536,0.0001168459,0.0003757375,0.001301912,0.0002336053],"category_scores_gemma":[0.004538881,0.0006442767,0.001748281,0.00009644235,0.002096402,0.0004286263,0.0003049699,0.000884506,0.000005565133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536817,"about_ca_system_score_gemma":0.0005984391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001378746,"about_ca_topic_score_gemma":0.000685101,"domain_scores_codex":[0.9899197,0.002024437,0.004764828,0.001050915,0.001765206,0.0004749149],"domain_scores_gemma":[0.9844169,0.001259793,0.008880678,0.001272541,0.003819445,0.0003506134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02374055,0.001986461,0.2078696,0.01097761,0.009271896,0.00001985463,0.002474299,0.00002755162,0.08149126,0.01877012,0.001478142,0.6418927],"study_design_scores_gemma":[0.09743935,0.006161035,0.4737178,0.01235242,0.02458341,0.004574252,0.003356213,0.0004151595,0.2829277,0.009342191,0.07850175,0.006628754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782339,0.001249577,0.0008989206,0.0003729233,0.004009231,0.00377995,0.0009621487,0.00003637618,0.01045692],"genre_scores_gemma":[0.98015,0.0002166562,0.00124825,0.00009147117,0.0004082665,0.00004528175,0.0001482913,0.0001133349,0.0175784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6352639,"threshold_uncertainty_score":0.9999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05487772559681325,"score_gpt":0.3123627025598216,"score_spread":0.2574849769630083,"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."}}