{"id":"W2123079522","doi":"10.1109/iembs.1995.575340","title":"3D visualization for evaluating a monitoring system in an ICU","year":2002,"lang":"en","type":"article","venue":"","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Children's Hospital","funders":"","keywords":"Visualization; Interactivity; Computer science; Data visualization; Scheme (mathematics); Human–computer interaction; Expert system; Creative visualization; Data mining; Multimedia; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00326572,0.0009675679,0.0004789145,0.002079948,0.000491422,0.001399507,0.0006379739,0.001061984,0.004862092],"category_scores_gemma":[0.008190163,0.0003964595,0.0005536463,0.0008544295,0.000423184,0.0009465548,0.001085969,0.0006874242,0.0007572197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004011171,"about_ca_system_score_gemma":0.0004853513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621345,"about_ca_topic_score_gemma":0.001636699,"domain_scores_codex":[0.9982699,0.001004865,0.0001128731,0.00007582798,0.0004846319,0.00005195953],"domain_scores_gemma":[0.9964088,0.002148348,0.0002048954,0.0003665816,0.000726667,0.0001446639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008501237,0.0001822239,0.01052666,0.0008142452,0.0001100158,0.0007057358,0.002104018,0.09301651,0.1440822,0.01392534,0.01169752,0.7219853],"study_design_scores_gemma":[0.0001056097,0.0008278082,0.01324102,0.0002720458,0.0001380766,0.001839921,0.0005836218,0.8426864,0.09490555,0.008260787,0.03693281,0.0002063061],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02696672,0.0004217918,0.9652924,0.0004007534,0.00008420239,0.0001969042,0.0002355637,0.003521077,0.002880638],"genre_scores_gemma":[0.2183724,0.0005767594,0.7792077,0.00006091552,0.00004338234,0.0002039489,0.0002449339,0.0002404472,0.001049587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004862092,"threshold_uncertainty_score":0.01727098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2161265154973991,"score_gpt":0.4546654721689432,"score_spread":0.2385389566715441,"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."}}