{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003676437,0.0004814113,0.0006285447,0.001076682,0.0003629188,0.000769283,0.0005517443,0.0005746035,0.001735632],"category_scores_gemma":[0.0005316452,0.0001507179,0.0004708074,0.0006795161,0.0001106209,0.0006168316,0.0004486101,0.0003323507,0.000642982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003705876,"about_ca_system_score_gemma":0.0003616326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00241309,"about_ca_topic_score_gemma":0.002873024,"domain_scores_codex":[0.999632,0.00003813138,0.00005202408,0.0001005273,0.0001154564,0.00006183123],"domain_scores_gemma":[0.9997531,0.0000391851,0.00003282259,0.00002005349,0.0001222061,0.00003276205],"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":[0.001120002,0.001426377,0.07657428,0.0005624279,0.0003874328,0.001208487,0.0002345904,0.05499562,0.07134813,0.00335645,0.01075281,0.7780334],"study_design_scores_gemma":[0.00003568005,0.0004300248,0.02951609,0.00003781796,0.0001181864,0.0004774284,0.000168448,0.953482,0.01088948,0.00149682,0.00330855,0.00003943712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3918657,0.00236904,0.5742301,0.001464156,0.0007617348,0.0006498907,0.001755642,0.004697999,0.02220574],"genre_scores_gemma":[0.9618451,0.0003924771,0.03264044,0.0002148078,0.0001290487,0.0001758684,0.0007374949,0.00001204439,0.003852882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00241309,"threshold_uncertainty_score":0.005806267,"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."}}