{"id":"W6966242700","doi":"10.3969/j.issn.1672⁃6731.2023.01.001","title":"Medical artificial intelligence: driven by the fusion of knowledge⁃guided and data⁃mining methodologies","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Field (mathematics); Applications of artificial intelligence; Expert system; Medical knowledge; Bottle neck; Medical research; Sensor fusion; Medical device","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009636947,0.0006575668,0.0008019048,0.002876794,0.0006632218,0.005975663,0.001947787,0.001731416,0.001178602],"category_scores_gemma":[0.01415158,0.0004456791,0.0008732928,0.001879995,0.003774097,0.00515744,0.003427696,0.002183836,0.0006044754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774675,"about_ca_system_score_gemma":0.003997492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182333,"about_ca_topic_score_gemma":0.001286559,"domain_scores_codex":[0.9946305,0.002384792,0.0004203092,0.0005209738,0.001869868,0.0001736502],"domain_scores_gemma":[0.9916574,0.005601605,0.0004645546,0.0008124585,0.001137337,0.0003265036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001262763,0.0002173387,0.005133233,0.001303728,0.0002372553,0.0004411341,0.002136222,0.02577253,0.006196014,0.5318152,0.006350018,0.4202711],"study_design_scores_gemma":[0.00004135218,0.0001697619,0.001883149,0.0008214971,0.0001077195,0.0005703905,0.0007129558,0.1282418,0.004483449,0.794048,0.06882473,0.00009520925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0185875,0.01120984,0.918991,0.02027089,0.0003457067,0.0003687972,0.0001394085,0.00056776,0.02951906],"genre_scores_gemma":[0.2905257,0.008365419,0.6924606,0.003068572,0.0005043374,0.0002897076,0.0002812288,0.0001206893,0.004383789],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009636947,"threshold_uncertainty_score":0.05096567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6012124614254508,"score_gpt":0.5714181279306104,"score_spread":0.0297943334948404,"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."}}