{"id":"W4405138843","doi":"10.1007/978-3-031-78761-4_6","title":"A Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Computer science; Diffusion; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008997036,0.0004904029,0.0004589892,0.001112782,0.0003103411,0.0004454694,0.001357796,0.0004156736,0.00000715235],"category_scores_gemma":[0.0001077388,0.000453923,0.0000888622,0.0004775979,0.0002534564,0.0005416087,0.00107535,0.001100763,0.00001083043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004202733,"about_ca_system_score_gemma":0.0004465417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006754608,"about_ca_topic_score_gemma":0.0002205379,"domain_scores_codex":[0.9961078,0.00004036769,0.0005628559,0.001877011,0.0007638668,0.000648056],"domain_scores_gemma":[0.9981744,0.0005885361,0.0001891139,0.000714308,0.0001525647,0.0001810732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000859164,0.0002076282,0.003717012,0.001785996,0.00005106336,0.0003264371,0.01588701,0.4272153,0.00004973199,0.2820751,0.0005427728,0.268056],"study_design_scores_gemma":[0.0004097632,0.0001872695,0.001258968,0.000819049,0.000004922099,0.00007602975,1.0148e-7,0.8012297,0.00001032475,0.195309,0.0003578101,0.0003370297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001379809,0.0005732861,0.9925169,0.002634349,0.0007463979,0.001166499,0.00006790094,0.0003057236,0.0006091277],"genre_scores_gemma":[0.3150767,0.00009766631,0.6787333,0.002546088,0.0009694943,0.0001607523,0.0001998839,0.0001000319,0.002116073],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3740143,"threshold_uncertainty_score":0.9997913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008093123642214114,"score_gpt":0.2421212081632218,"score_spread":0.2340280845210077,"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."}}