{"id":"W4383186319","doi":"10.1002/mp.16574","title":"A hierarchical self‐attention‐guided deep learning framework to predict breast cancer response to chemotherapy using pre‑treatment tumor biopsies","year":2023,"lang":"en","type":"article","venue":"Medical Physics","topic":"AI in cancer detection","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University; Sunnybrook Health Science Centre","funders":"","keywords":"Breast cancer; Medicine; Chemotherapy; Oncology; Cancer; Medical physics; Radiology; 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":[0.0005441954,0.0005656748,0.0004713709,0.0004906151,0.0002106186,0.0003249447,0.001003304,0.0006196771,0.0008590929],"category_scores_gemma":[0.0006127119,0.0002561361,0.0006844181,0.0002394267,0.0002952233,0.0003171246,0.000498881,0.0005162258,0.0002427595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007732507,"about_ca_system_score_gemma":0.001184574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01355379,"about_ca_topic_score_gemma":0.01634357,"domain_scores_codex":[0.9998087,0.00003514857,0.00001007236,0.0000561059,0.0000421891,0.00004776891],"domain_scores_gemma":[0.9998156,0.00005386614,0.00002480014,0.00001517244,0.00007160858,0.0000189047],"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":[0.0002959569,0.0003289175,0.006352848,0.00005045102,0.0001281457,0.0001326728,0.00006917038,0.7325922,0.01226146,0.001208635,0.001943051,0.2446365],"study_design_scores_gemma":[0.000003668074,0.00003933999,0.0004249696,0.000001762918,0.000008770968,0.000008678197,0.00000233947,0.9985406,0.0006878984,0.0002132097,0.00006635171,0.000002275273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.295231,0.0007207637,0.6989411,0.0003428541,0.0000584707,0.0001534035,0.0003386798,0.002010778,0.002203017],"genre_scores_gemma":[0.9426737,0.0001339252,0.05460924,0.0001682275,0.00002603777,0.00009939843,0.000448496,0.00002774105,0.001813303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01355379,"threshold_uncertainty_score":0.02694982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827546578973594,"score_gpt":0.3124292387929628,"score_spread":0.2941537730032269,"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."}}