{"id":"W4396568296","doi":"10.5737/23688653-3312229","title":"The development and implementation of an evidence-based risk reduction algorithm for post-extubation dysphagia in intensive care","year":2023,"lang":"en","type":"article","venue":"˜The œCanadian journal of critical care nursing","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dysphagia; Reduction (mathematics); Intensive care; Computer science; Medicine; Algorithm; Intensive care medicine; Mathematics; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001294466,0.00009592591,0.0001521485,0.0002787582,0.001305096,0.00005326812,0.0001325603,0.00006808213,0.00001472308],"category_scores_gemma":[0.0004290177,0.00006940355,0.00004242613,0.0002419902,0.0001635876,0.0002458002,0.00001026033,0.0003096591,0.000001533252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008710509,"about_ca_system_score_gemma":0.001994146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003316138,"about_ca_topic_score_gemma":0.1172902,"domain_scores_codex":[0.9982426,0.0004018086,0.0005936595,0.0001239208,0.0002587064,0.0003793241],"domain_scores_gemma":[0.9962437,0.0007429468,0.0002325317,0.0001082918,0.002479793,0.0001927114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000069833,0.000006202763,0.003972544,0.0002243157,0.00002518852,0.000008004342,0.08182467,0.00004614467,0.00003849671,0.001165095,0.0004654243,0.9121541],"study_design_scores_gemma":[0.0009044114,0.0004932306,0.1223865,0.0008858986,0.0001542329,0.000003523494,0.8708939,0.001459688,0.0002615509,0.001534429,0.0009151982,0.0001074548],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608638,0.0021806,0.01114137,0.02008368,0.003219228,0.002232455,0.00007804092,0.00002033935,0.0001804887],"genre_scores_gemma":[0.9963889,0.00001371344,0.003142237,0.0002064798,0.0001406494,0.00004855524,0.00003307096,0.00001416984,0.00001220848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9120466,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06973885130268265,"score_gpt":0.4599407195955981,"score_spread":0.3902018682929155,"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."}}