{"id":"W4413450137","doi":"10.1016/j.soi.2025.100184","title":"A single arm, prospective, open label, multicenter study assessing the safety and effectiveness of SPY AGENT GREEN and SPY fluorescence imaging systems in the visualization of lymphatic vessels and lymph nodes during lymphatic mapping and sentinel lymph node biopsy in subjects with breast cancer","year":2025,"lang":"en","type":"article","venue":"Surgical Oncology Insight","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital du Saint-Sacrement; Fraser Health","funders":"Health Canada; Stryker","keywords":"Lymph; Visualization; Medicine; Lymphatic system; Radiology; Pathology; Computer science; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005549351,0.0002036535,0.0004653849,0.00009991408,0.0001479365,0.00006282539,0.0001211016,0.0000651235,4.463551e-7],"category_scores_gemma":[0.00002642473,0.0001250863,0.00001314069,0.0003057221,0.0004008691,0.00003756976,0.000323534,0.00003862612,2.021437e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001502718,"about_ca_system_score_gemma":0.000116132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649616,"about_ca_topic_score_gemma":0.00009674182,"domain_scores_codex":[0.9982184,0.0007058763,0.000335761,0.0004307204,0.0001137784,0.000195447],"domain_scores_gemma":[0.9992041,0.0003252566,0.0001874447,0.000158515,0.00009694911,0.00002771731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001052295,0.0008457219,0.9737715,0.0006225237,0.0001819815,0.00005670412,0.001628037,0.00002803163,0.01984372,0.00006179245,8.625879e-8,0.001907582],"study_design_scores_gemma":[0.01013594,0.0000572294,0.9836215,0.001046644,0.0001039504,0.0001507209,0.002467402,0.0006400407,0.001631792,0.00001243822,0.000006321065,0.000125975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99371,0.004895811,0.00004258012,0.000226691,0.00003865292,0.0009415546,0.00001050351,0.000003901047,0.000130294],"genre_scores_gemma":[0.9990034,0.000718833,0.00004309521,0.00003176605,0.00001526083,0.0001666748,0.000005524867,0.00001182058,0.000003622401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01821193,"threshold_uncertainty_score":0.5100873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406556238449498,"score_gpt":0.3115609571235413,"score_spread":0.2974953947390463,"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."}}