{"id":"W4390060326","doi":"10.3390/curroncol31010004","title":"High-Dose-Rate Three-Dimensional Image-Guided Adaptive Brachytherapy (3D IGABT) for Locally Advanced Cervical Cancer (LACC): A Narrative Review on Imaging Modality and Clinical Evidence","year":2023,"lang":"en","type":"review","venue":"Current Oncology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brachytherapy; Medicine; Medical physics; Cervical cancer; Magnetic resonance imaging; Positron emission tomography; Modalities; Modality (human–computer interaction); Radiology; Radiation treatment planning; Medical imaging; Radiation therapy; Nuclear medicine; Cancer; Computer science; Artificial intelligence; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001503168,0.0006904174,0.001432962,0.002451138,0.0002635515,0.001419651,0.0009243403,0.0009622584,0.003349064],"category_scores_gemma":[0.003939097,0.0003113838,0.00141919,0.002571569,0.0005522844,0.001210959,0.0005532678,0.0008249679,0.0006024006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006122444,"about_ca_system_score_gemma":0.00173136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001285401,"about_ca_topic_score_gemma":0.002237339,"domain_scores_codex":[0.9994179,0.0001379961,0.0001684556,0.0001004447,0.0001530999,0.0000220635],"domain_scores_gemma":[0.9972376,0.002096378,0.0003512646,0.0000437698,0.0002404889,0.00003046023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001781889,0.00005140443,0.0008690461,0.2398977,0.0007632899,0.0002455832,0.0001631292,0.0004492446,0.001011678,0.00284342,0.01241061,0.7411167],"study_design_scores_gemma":[0.00008940347,0.0004054271,0.004563209,0.2002564,0.007816933,0.005744564,0.0003844486,0.0005062748,0.001936795,0.003310225,0.7749027,0.0000835294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001528344,0.9990339,0.0001331358,0.0002157637,0.00004824225,0.00000935076,0.00003370998,0.000003039939,0.0003699435],"genre_scores_gemma":[0.001772585,0.9975711,0.0002460242,0.0002015285,0.00007104463,0.0000168834,0.00004200977,0.000002363856,0.00007638757],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003349064,"threshold_uncertainty_score":0.01120377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3534223037294959,"score_gpt":0.5510535853234804,"score_spread":0.1976312815939845,"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."}}