{"id":"W2888218898","doi":"10.1016/j.foodhyd.2018.08.014","title":"Corrigendum to \"Challenges to assumptions regarding oral shear rate during oral processing and swallowing based on sensory testing with thickened liquids\" [Food Hydrocolloids 84C (2018) 173-180]","year":2018,"lang":"en","type":"erratum","venue":"Food Hydrocolloids","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Toronto Rehabilitation Institute; University of Guelph","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Swallowing; Sensory system; Food science; Sensory analysis; Medicine; Dentistry; Chemistry; Psychology; Cognitive psychology","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","sts","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.002961287,0.001893935,0.002210703,0.001920463,0.004586707,0.0004177525,0.001058802,0.001524491,0.0001738798],"category_scores_gemma":[0.0007925063,0.001761491,0.0002782467,0.001802803,0.0001885229,0.0006783892,0.001219857,0.003534231,0.0004006641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645983,"about_ca_system_score_gemma":0.002079206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001138859,"about_ca_topic_score_gemma":0.001952874,"domain_scores_codex":[0.9891623,0.001276237,0.001810326,0.002915642,0.001767233,0.003068238],"domain_scores_gemma":[0.9947937,0.0004762787,0.001006555,0.001634494,0.0007361158,0.001352866],"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":[0.008137533,0.002201852,0.005075367,0.02867569,0.004562067,0.0006387055,0.02325272,0.006189731,0.007154278,0.001123736,0.9029903,0.009998031],"study_design_scores_gemma":[0.01300594,0.02595219,0.009989158,0.03761306,0.002234825,0.00002674092,0.01090399,0.01575203,0.0008045852,0.0002971503,0.8763489,0.007071441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2721909,0.002811589,0.008480278,0.02287924,0.07814119,0.07044697,0.001147499,0.008294795,0.5356075],"genre_scores_gemma":[0.5951973,0.0001647521,0.01901484,0.006969106,0.006380098,0.009295323,0.0004057832,0.001271901,0.3613009],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3230064,"threshold_uncertainty_score":0.9997717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09978939319696999,"score_gpt":0.3557183976530893,"score_spread":0.2559290044561193,"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."}}