{"id":"W3151903848","doi":"10.1093/jnci/djab055","title":"RE: Advanced Breast Cancer Definitions by Staging System Examined in the Breast Cancer Surveillance Consortium","year":2021,"lang":"en","type":"letter","venue":"JNCI Journal of the National Cancer Institute","topic":"AI in cancer detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; ECOG-ACRIN Cancer Research Group","keywords":"Breast cancer; Medicine; Cancer; Oncology; 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":[0.005195543,0.0009057502,0.001462775,0.001856564,0.00358777,0.003381808,0.002194065,0.02598494,0.01735648],"category_scores_gemma":[0.03127506,0.001081225,0.001117274,0.001873239,0.001434821,0.002351269,0.00181662,0.01902057,0.01758917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005906719,"about_ca_system_score_gemma":0.009428373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03151333,"about_ca_topic_score_gemma":0.075698,"domain_scores_codex":[0.9953606,0.001115538,0.0009977086,0.0005204831,0.001325564,0.0006803085],"domain_scores_gemma":[0.9759213,0.009434983,0.001990668,0.001133945,0.007556478,0.003962605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005042379,0.00002391591,0.001860371,0.00001848951,0.000004582802,0.0001472493,0.00002562638,0.00002067337,0.00007933956,0.0005373087,0.9931436,0.004088442],"study_design_scores_gemma":[0.0003011206,0.00008125252,0.02026025,0.0006921828,0.00005118725,0.0008131458,0.0005618928,0.0009396921,0.0006046689,0.003071352,0.9725286,0.0000946213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001103933,0.0006577242,0.0001774841,0.952539,0.03180287,0.0000826639,0.001693191,0.0001041485,0.01183909],"genre_scores_gemma":[0.00666569,0.0006488903,0.0006016122,0.913833,0.04423384,0.0002316246,0.001473174,0.0001194427,0.03219284],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03151333,"threshold_uncertainty_score":0.0626598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0496172421570683,"score_gpt":0.291338624699141,"score_spread":0.2417213825420726,"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."}}