{"id":"W4398138487","doi":"10.3892/mi.2024.164","title":"Uses of artificial intelligence in glioma: A systematic review","year":2024,"lang":"en","type":"review","venue":"Medicine International","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Glioma; Grading (engineering); Scopus; Glioblastoma; Medicine; Oncology; Computer science; MEDLINE; Cancer research; Biology","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":[0.005884295,0.001083015,0.004125132,0.01288692,0.0005065828,0.002391593,0.001380939,0.001397144,0.003247602],"category_scores_gemma":[0.03090136,0.0007030355,0.005102532,0.01450571,0.0006837555,0.002066782,0.001204103,0.0008567966,0.0003145117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002598858,"about_ca_system_score_gemma":0.008548714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005596932,"about_ca_topic_score_gemma":0.01766409,"domain_scores_codex":[0.9940078,0.001860308,0.002486504,0.0003506841,0.001140517,0.0001541409],"domain_scores_gemma":[0.9631255,0.03001984,0.004135391,0.0003558025,0.00211134,0.0002522865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001238718,0.00001785734,0.001321004,0.9249778,0.005175139,0.0001618344,0.0002763309,0.0001311396,0.0001376195,0.0002640774,0.001913751,0.06549955],"study_design_scores_gemma":[0.0001153486,0.0001702519,0.006449359,0.9245073,0.03631208,0.0008183828,0.0004125105,0.0001547405,0.0002046347,0.0004662466,0.03034678,0.00004229571],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001013698,0.9977155,0.000140987,0.0003008974,0.0000687805,0.0001316168,0.0002736903,0.000005836782,0.0003489701],"genre_scores_gemma":[0.009205853,0.9894366,0.0004863141,0.0003721234,0.00006735797,0.0001917862,0.0001659134,0.000003687322,0.00007036673],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01288692,"threshold_uncertainty_score":0.03111947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06059746728810299,"score_gpt":0.4365255769587914,"score_spread":0.3759281096706884,"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."}}