{"id":"W2471354804","doi":"10.1136/bmjopen-2016-012200","title":"Protocol to describe the analysis of text-based communication in medical records for patients discharged from intensive care to hospital ward","year":2016,"lang":"en","type":"article","venue":"BMJ Open","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"Medicine; Observational study; Medical record; Protocol (science); Intensive care; Intensive care unit; Patient safety; Medical emergency; Emergency medicine; Health care; Intensive care medicine; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.05984777,0.002994711,0.004406235,0.005254308,0.004930458,0.00446613,0.003730531,0.004051334,0.1293837],"category_scores_gemma":[0.08143879,0.002930268,0.00379026,0.004276835,0.002460722,0.002847061,0.002885453,0.006640773,0.04250876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007766406,"about_ca_system_score_gemma":0.03948293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005802455,"about_ca_topic_score_gemma":0.007515385,"domain_scores_codex":[0.9559432,0.02599689,0.009957774,0.003087182,0.003390174,0.001624689],"domain_scores_gemma":[0.923972,0.02003587,0.009091474,0.01332201,0.03019463,0.003383983],"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":[0.03509856,0.008935157,0.008338329,0.07966524,0.000841538,0.002336713,0.01682482,0.00405911,0.005494185,0.02499826,0.5243589,0.2890491],"study_design_scores_gemma":[0.03201805,0.005636807,0.01865343,0.03893674,0.000453566,0.0006250558,0.007712695,0.003839748,0.004905383,0.01280628,0.8737631,0.0006491227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001311496,0.0001740679,0.005787361,0.0005937232,0.0004782779,0.9752088,0.01298576,0.0001749279,0.0032856],"genre_scores_gemma":[0.00075685,0.00009739146,0.004989956,0.0002117332,0.00003732013,0.9918771,0.001333197,0.00001838703,0.0006780133],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1293837,"threshold_uncertainty_score":0.4328315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05423702868140335,"score_gpt":0.4271900986121881,"score_spread":0.3729530699307848,"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."}}