{"id":"W2961557244","doi":"10.1002/ncp.10320","title":"Do We Have Clinical Equipoise (or Uncertainty) About How Much Protein to Provide to Critically Ill Patients?","year":2019,"lang":"en","type":"article","venue":"Nutrition in Clinical Practice","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Clinical Evaluation Research Unit; Queen's University","funders":"Canadian Institutes of Health Research; Cumberland Pharmaceuticals; GlaxoSmithKline","keywords":"Medicine; Critically ill; Guideline; Dosing; Intensive care medicine; Clinical trial; Clinical equipoise; Randomized controlled trial; Pharmacology; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1156901,0.0006641282,0.003846199,0.001042143,0.002035388,0.008285123,0.002824126,0.009484266,0.004257562],"category_scores_gemma":[0.371949,0.0006834076,0.002144998,0.001846294,0.01177914,0.009299441,0.005200744,0.0115294,0.001110114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003748247,"about_ca_system_score_gemma":0.007515114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001489425,"about_ca_topic_score_gemma":0.001970059,"domain_scores_codex":[0.876818,0.09587693,0.01205776,0.005013168,0.008845489,0.001388601],"domain_scores_gemma":[0.6859507,0.2340187,0.04895594,0.0125198,0.01108523,0.007469543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03978499,0.002615041,0.02924105,0.03350351,0.0105374,0.0004826434,0.006667435,0.002191329,0.002656252,0.09905162,0.05884833,0.7144204],"study_design_scores_gemma":[0.06742653,0.03776261,0.04999985,0.06922942,0.01323148,0.001758575,0.01712414,0.004942119,0.006482505,0.4477681,0.2830558,0.00121877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0689472,0.1657945,0.01957651,0.7211606,0.007621405,0.001253967,0.000598078,0.0001111092,0.01493669],"genre_scores_gemma":[0.6002527,0.04306465,0.03698944,0.3103045,0.005783636,0.00264369,0.0003285525,0.0001185941,0.000514158],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1156901,"threshold_uncertainty_score":0.6118349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0774719407718353,"score_gpt":0.4408639759257211,"score_spread":0.3633920351538859,"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."}}