{"id":"W4378418351","doi":"10.18280/ria.370222","title":"Smart Health Monitoring Using Deep Learning and Artificial Intelligence","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deep learning; Artificial intelligence; Computer science; Psychology","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003643674,0.0005166488,0.0007825312,0.0006650446,0.003902999,0.00009140585,0.000523776,0.0004321182,0.0006919482],"category_scores_gemma":[0.001633845,0.0005591142,0.0001694524,0.002414253,0.0003663106,0.0003656719,0.0005405007,0.002008921,0.004874586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005452542,"about_ca_system_score_gemma":0.0004138321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002241897,"about_ca_topic_score_gemma":0.0006540655,"domain_scores_codex":[0.9925999,0.00108806,0.00240761,0.001192596,0.0005547986,0.002157022],"domain_scores_gemma":[0.9954028,0.002050942,0.0007052857,0.0006974667,0.0004703059,0.0006731574],"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":[0.0001511624,0.0001530102,0.1617404,0.001568086,0.00006626637,0.0001012158,0.04723712,0.06383141,0.005334721,0.02333715,0.0002352211,0.6962442],"study_design_scores_gemma":[0.00002393624,0.0002972536,0.0007649726,0.001277731,0.00002433028,0.0000256412,0.1206138,0.8425592,0.0104088,0.01607329,0.007192154,0.0007388811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8409059,0.003043029,0.1365508,0.005853167,0.006149119,0.002933874,0.00002409603,0.001998289,0.002541727],"genre_scores_gemma":[0.9915136,0.002364096,0.002487901,0.0002751952,0.00120383,0.0001795783,0.00002575164,0.0001403715,0.001809741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7787278,"threshold_uncertainty_score":0.9996861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2813323118952614,"score_gpt":0.4868245829503897,"score_spread":0.2054922710551283,"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."}}