{"id":"W4406211612","doi":"10.18280/ts.410631","title":"Active and Passive Antenna Sensor Signal for the Prediction of Breast Cancer Cell Size Below 3mm Using Bayesian Optimized Regression Analysis","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bayesian probability; Regression; Breast cancer; SIGNAL (programming language); Computer science; Regression analysis; Statistics; Mathematics; Artificial intelligence; Cancer; Machine learning; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001235607,0.0002404544,0.0003302086,0.0001080984,0.0001378735,0.00006433285,0.0001020334,0.0001016975,0.0004164574],"category_scores_gemma":[0.000003562833,0.0001721482,0.0001970195,0.0003989357,0.00006925695,0.0002206625,0.00002698053,0.0001579428,2.917659e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001733984,"about_ca_system_score_gemma":0.00003668021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001045971,"about_ca_topic_score_gemma":0.00004095951,"domain_scores_codex":[0.9987954,0.00004420245,0.0003412738,0.0002872166,0.0002502864,0.0002816441],"domain_scores_gemma":[0.9991682,0.0004520366,0.0000803605,0.0001307943,0.00008978779,0.00007882082],"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":[0.0004163934,0.00005454387,0.0004447045,0.0003313316,0.002528416,0.00001153645,0.001344324,0.8219998,0.1534454,0.00002254553,0.0004942536,0.0189067],"study_design_scores_gemma":[0.0007503002,0.00004304202,0.00318915,0.00025606,0.001574116,0.00000659105,0.0004551538,0.9837033,0.009797326,0.00001433461,0.00005121145,0.0001593911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2754116,0.001752826,0.7190939,0.0002895647,0.0003791566,0.001033894,0.00169907,0.0002522479,0.00008777177],"genre_scores_gemma":[0.9970759,0.000301155,0.002048997,0.00001462985,0.0003432587,0.0001058699,0.00003205253,0.00004673048,0.00003141832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7216642,"threshold_uncertainty_score":0.7020001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025738015551043,"score_gpt":0.2279077789235487,"score_spread":0.2176503987680383,"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."}}