{"id":"W4210302115","doi":"10.2196/34677","title":"User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modalities; Avatar; Virtual patient; Vital signs; Context (archaeology); Usability; Computer science; Modality (human–computer interaction); Fidelity; Human–computer interaction; Psychology; Multimedia; Medicine; Surgery; Medical education","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":[],"consensus_categories":[],"category_scores_codex":[0.00009938152,0.0001721935,0.0004469159,0.0005756987,0.0005681664,0.000008040734,0.0001150267,0.0001039396,0.0008372407],"category_scores_gemma":[0.00003771075,0.000159388,0.000226898,0.0005296636,0.0001145378,0.00008979492,0.0001197671,0.0004450893,0.000002583014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002898658,"about_ca_system_score_gemma":0.00002747883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002725134,"about_ca_topic_score_gemma":0.00002976916,"domain_scores_codex":[0.9984948,0.0001462072,0.0004323015,0.0002735687,0.0004147873,0.0002383326],"domain_scores_gemma":[0.999095,0.0001583767,0.0001717764,0.0003454225,0.0001301144,0.00009935874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005724591,0.000257074,0.9739006,0.0001009364,0.000395234,0.000005745302,0.005926384,0.003805742,0.01503249,0.0004744585,0.00001042303,0.0000337104],"study_design_scores_gemma":[0.0004320185,0.000531001,0.983149,0.0000236073,0.0002580416,6.375575e-7,0.01007296,0.0001674871,0.005051395,0.0001530643,0.00001406385,0.0001467418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998827,0.0000177816,0.0001509219,0.00008199316,0.0001551779,0.0004138472,0.0001457078,0.0001632685,0.00004427751],"genre_scores_gemma":[0.9991429,0.000001862547,0.00004239498,0.00001060278,0.00007684582,0.0001027151,0.0001932688,0.00001783149,0.0004115087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009981093,"threshold_uncertainty_score":0.9167198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943779629706257,"score_gpt":0.3704509385646889,"score_spread":0.3210131422676263,"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."}}