{"id":"W4410702293","doi":"10.47363/jcrr/2023(5)179","title":"AI-Driven Advancements in Breast Cancer: Transforming Detection,Diagnosis, Treatment, and Monitoring","year":2023,"lang":"en","type":"article","venue":"Journal of Cancer Research Reviews & Reports","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Breast cancer; Medicine; Cancer; Oncology; Internal medicine","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":[0.008809464,0.0005366855,0.000634227,0.002008278,0.0009859984,0.004527529,0.001487447,0.002938065,0.003574897],"category_scores_gemma":[0.01516249,0.0003209292,0.0004760351,0.001666317,0.005113768,0.004625123,0.002653616,0.005193666,0.001682009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002281856,"about_ca_system_score_gemma":0.003318506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661364,"about_ca_topic_score_gemma":0.001835694,"domain_scores_codex":[0.9958882,0.002054091,0.0001650373,0.0003074463,0.001344574,0.0002406334],"domain_scores_gemma":[0.9853557,0.01008976,0.0007803561,0.0006010048,0.002166804,0.001006336],"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":[0.0001732904,0.0002006037,0.004418719,0.002493449,0.0001230764,0.000344982,0.001000206,0.003025052,0.003367364,0.1515112,0.1027337,0.7306082],"study_design_scores_gemma":[0.00004328227,0.0002074187,0.003931087,0.003147213,0.00008033762,0.001409583,0.001471545,0.007063256,0.00350223,0.3047709,0.6742635,0.0001096798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007853987,0.4963068,0.04697289,0.4033998,0.005954011,0.00007839398,0.0002224054,0.0005933209,0.03861833],"genre_scores_gemma":[0.2469442,0.5954731,0.06960592,0.05882869,0.01649991,0.0001747282,0.0003186085,0.0002462553,0.01190859],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008809464,"threshold_uncertainty_score":0.04658943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07029862980511747,"score_gpt":0.4835681498195882,"score_spread":0.4132695200144707,"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."}}