{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005970584,0.0002495322,0.000289653,0.0001494389,0.0002977033,0.0001258485,0.0006462729,0.0001205865,0.0000619938],"category_scores_gemma":[0.0002588689,0.0002233146,0.0001167482,0.001926534,0.00007284047,0.0001988774,0.000330605,0.0004013277,0.0001409417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007266857,"about_ca_system_score_gemma":0.0003964062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001236235,"about_ca_topic_score_gemma":0.000008016319,"domain_scores_codex":[0.997126,0.0002463416,0.0003096783,0.0006646309,0.001087852,0.0005654261],"domain_scores_gemma":[0.9983646,0.0003882217,0.00008218672,0.0005141599,0.0001092747,0.0005415431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001361938,0.000684396,0.01411196,0.0001085285,0.0004136417,0.0002264518,0.02412218,0.03854198,0.01259565,0.0007313855,0.00243036,0.9046715],"study_design_scores_gemma":[0.002056649,0.001465262,0.153559,0.001029503,0.00006932887,0.000176556,0.0001542522,0.8162369,0.008915673,0.007071933,0.008152856,0.001112141],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4821687,0.00001523927,0.5086159,0.007652278,0.0005849171,0.0002989975,0.000006405534,0.0006450879,0.00001251721],"genre_scores_gemma":[0.9644086,0.00005633178,0.03044037,0.002795327,0.001653107,0.000317644,0.000003622722,0.0000650103,0.0002599405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9035594,"threshold_uncertainty_score":0.9106506,"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."}}