{"id":"W139392700","doi":"10.1007/978-1-4419-7046-6_74","title":"Using Standardized Numerical Scores for the Display and Interpretation of Biomedical Data","year":2011,"lang":"en","type":"article","venue":"Advances in experimental medicine and biology","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Interpretation (philosophy); Computer science; Medical physics; Computer graphics (images); Medicine; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01463469,0.0021064,0.001331386,0.007575921,0.0004771295,0.005050987,0.001212444,0.0009737585,0.006694912],"category_scores_gemma":[0.09393669,0.000467153,0.0008707283,0.007615092,0.001121783,0.003411458,0.002232625,0.001378688,0.002804081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007887795,"about_ca_system_score_gemma":0.001316215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414435,"about_ca_topic_score_gemma":0.001549568,"domain_scores_codex":[0.9843152,0.007465307,0.002610626,0.001162633,0.004180372,0.0002659385],"domain_scores_gemma":[0.9507669,0.02740964,0.005571542,0.004925795,0.01067077,0.000655263],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0024353,0.0003487833,0.03632285,0.001510277,0.0006668913,0.0003164888,0.001108484,0.006093866,0.03359884,0.01603307,0.02023062,0.8813345],"study_design_scores_gemma":[0.001449002,0.004465364,0.1815989,0.002332876,0.001667375,0.004745389,0.003799411,0.3622089,0.1646544,0.1546757,0.116683,0.001719651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06033292,0.0009591426,0.9110366,0.0007767396,0.0006545389,0.001344516,0.004976771,0.01108072,0.008838131],"genre_scores_gemma":[0.2962325,0.001024508,0.693257,0.0003860048,0.0002381464,0.001840363,0.003648924,0.001113013,0.002259615],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9853653,"threshold_uncertainty_score":0.07739651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080248944770651,"score_gpt":0.451485413781066,"score_spread":0.3434605193040009,"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."}}