{"id":"W4416745632","doi":"10.1016/j.microc.2025.116341","title":"Electrochemical biosensor with ML model for the early prediction of breast Cancer from urine: Preliminary outcomes","year":2025,"lang":"en","type":"article","venue":"Microchemical Journal","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Centre Technologique des Résidus Industriels; Blazeman Foundation for ALS","keywords":"Breast cancer; Biosensor; Biomarker; Urine; Dielectric spectroscopy; Cancer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008647067,0.000177078,0.0002199818,0.00004329627,0.0001132478,0.00002368623,0.0002357326,0.0001732984,0.000001439908],"category_scores_gemma":[0.00003513207,0.000105101,0.0001972673,0.0001041069,0.0001598823,0.000005275961,0.00006499547,0.0002180851,1.009506e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003342298,"about_ca_system_score_gemma":0.0001071932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009561575,"about_ca_topic_score_gemma":0.000003998993,"domain_scores_codex":[0.9990684,0.00001680328,0.0002970453,0.0002659343,0.0001254577,0.0002263071],"domain_scores_gemma":[0.9992388,0.00004695529,0.0001549613,0.0002355866,0.0002692218,0.00005450736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001030523,0.00008061688,0.004653215,0.00001004981,0.0003713465,4.93378e-7,0.00001377778,0.00001865038,0.991412,0.000004779462,0.001389968,0.001014532],"study_design_scores_gemma":[0.0006294473,0.0001305644,0.004263506,0.00006658156,0.0002748412,0.00004650041,0.00002575433,0.001680512,0.9922761,0.0001884795,0.0003027799,0.0001149401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936461,0.0006768373,0.1040854,0.001112017,0.00003455612,0.0001562437,0.0002549993,0.00001783432,0.00001601995],"genre_scores_gemma":[0.9859861,0.0003156539,0.01284073,0.0002942781,0.0001817706,0.00001887804,0.00005820313,0.00001619385,0.0002882419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09233999,"threshold_uncertainty_score":0.4285896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006214461192340696,"score_gpt":0.2568307162232092,"score_spread":0.2506162550308685,"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."}}