{"id":"W4407474984","doi":"10.1109/dicta63115.2024.00113","title":"Knee Joint Health Care Monitoring System using AI and IoT - Classification Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Engineering Research Board; University of Calgary","keywords":"Computer science; Internet of Things; Joint (building); Knee Joint; Health care; Artificial intelligence; Computer security; Medicine; Engineering; Structural engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001300231,0.0001782839,0.0001878576,0.0001643093,0.0001068629,0.0001906605,0.00005483706,0.0000763698,0.000001465555],"category_scores_gemma":[0.000005140348,0.0001740075,0.00004108234,0.0002414377,0.0000155314,0.0001629973,0.00003608489,0.0002144169,0.00001296953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008476301,"about_ca_system_score_gemma":0.00004264122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001044268,"about_ca_topic_score_gemma":0.000001269665,"domain_scores_codex":[0.9989946,0.00002368013,0.0002533127,0.0002737168,0.0001711014,0.0002835567],"domain_scores_gemma":[0.9996179,0.00002134271,0.00001728837,0.000186419,0.00003353554,0.0001235416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007618727,0.00002765286,0.01775002,0.02828623,0.0003174515,0.00005168776,0.01027309,0.03312799,0.7844,0.01212954,0.0004900302,0.1131386],"study_design_scores_gemma":[0.0005823149,0.0001471527,0.009377453,0.004093326,0.0001054776,0.0002459832,0.04000295,0.8037695,0.1389396,0.00005516136,0.001212001,0.001469131],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5836993,0.02867753,0.3664836,0.00007666636,0.005118978,0.0008519901,0.00001583444,0.003839313,0.01123681],"genre_scores_gemma":[0.9871103,0.00002834964,0.01200445,0.000004438246,0.000733358,0.00002657969,0.000003983761,0.00006722544,0.00002134061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7706414,"threshold_uncertainty_score":0.7095818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355104408845799,"score_gpt":0.2708171373558728,"score_spread":0.2272660932674148,"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."}}