{"id":"W4322767547","doi":"10.55752/amwa.2023.241","title":"The Use of Artificial Intelligence and Machine Learning in Clinical Research and Health Care","year":2023,"lang":"en","type":"article","venue":"AMWA Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foremost (Canada)","funders":"","keywords":"Session (web analytics); Medical education; Psychology; Artificial intelligence; Engineering; Computer science; Library science; Medicine; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004570209,0.00005224753,0.0001678202,0.000205585,0.0004445947,0.00006048679,0.00005133501,0.0000597768,0.000009236867],"category_scores_gemma":[0.001778376,0.00003612471,0.00002590395,0.0004405917,0.0002811646,0.00007208977,0.00004693724,0.001066924,0.000009635719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005960571,"about_ca_system_score_gemma":0.0004058824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222918,"about_ca_topic_score_gemma":0.001551464,"domain_scores_codex":[0.9982757,0.000336758,0.0007141982,0.0001328417,0.0002545591,0.0002859241],"domain_scores_gemma":[0.9979743,0.001333332,0.0001190781,0.0001029048,0.0002905835,0.0001798143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001150828,0.00002702043,0.2436149,0.00003563481,0.000005416927,0.00001195121,0.004399517,0.00002769254,0.00001306175,0.0004150466,0.0004518598,0.7508829],"study_design_scores_gemma":[0.0001845324,0.007997589,0.755235,0.001423315,0.00002663469,0.0006757632,0.1368669,0.0279566,0.001696636,0.02303039,0.04462292,0.0002836499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750876,0.003017484,0.0001393023,0.02126584,0.0002828929,0.0001784385,8.668231e-7,0.00001008883,0.00001748326],"genre_scores_gemma":[0.9834458,0.01573789,0.0002398071,0.0001604502,0.0002990326,0.000002992505,0.000003309649,0.000008059028,0.0001027186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7505992,"threshold_uncertainty_score":0.4635312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8024935825333609,"score_gpt":0.6163519542312217,"score_spread":0.1861416283021392,"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."}}