{"id":"W3102927929","doi":"10.2196/22000","title":"ISO/IEEE 11073 Treadmill Interoperability Framework and its Test Method: Design and Implementation","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Chongqing","keywords":"Interoperability; Computer science; Data exchange; Software; Conformance testing; Protocol (science); Software engineering; Database; Medicine; Operating system","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":[0.0005483101,0.0001287708,0.0002792421,0.0000532528,0.00007616586,0.0000131621,0.00007308867,0.0003177603,0.0001132373],"category_scores_gemma":[0.001256714,0.00009979918,0.00002238605,0.000164116,0.0000853196,0.0001443551,0.00006787585,0.0006511305,0.00001791881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003279361,"about_ca_system_score_gemma":0.0001079133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007338676,"about_ca_topic_score_gemma":0.000001478873,"domain_scores_codex":[0.9987378,0.00007067592,0.0005494017,0.0001202207,0.0003061889,0.0002156844],"domain_scores_gemma":[0.9985753,0.0006128667,0.00009808681,0.0001287508,0.00006848061,0.0005164903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002650153,0.0001809742,0.1119974,0.003260821,0.0001021316,0.00004739346,0.06466471,0.000002059632,0.0003183571,0.0007645445,0.003497563,0.8148991],"study_design_scores_gemma":[0.02272847,0.03214527,0.1199665,0.00627727,0.0008486907,0.001551618,0.1054992,0.5722287,0.07444002,0.003854704,0.05763109,0.002828532],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210925,0.0001255401,0.06754462,0.009967819,0.0001218408,0.0008788455,0.000007902743,0.0001781497,0.00008283016],"genre_scores_gemma":[0.9407071,0.000209747,0.05312746,0.00573424,0.0001376665,0.00005707658,0.00001134267,0.000009833091,0.000005558253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8120705,"threshold_uncertainty_score":0.4069692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08476259749563686,"score_gpt":0.4292525529164297,"score_spread":0.3444899554207929,"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."}}