{"id":"W7108338258","doi":"10.20383/103.01526","title":"Newfoundland and Labrador Breast Screening (NLBS) Dataset (NL-Breast-Screen)","year":2025,"lang":"","type":"dataset","venue":"Federated Research Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mammography; Breast cancer screening; Breast screening; Screening mammography; Breast cancer; Mammography screening; False positive paradox","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001772812,0.003399369,0.002406455,0.004363478,0.001492482,0.001815943,0.00520644,0.003010512,0.02008015],"category_scores_gemma":[0.006052078,0.000670126,0.001573803,0.005591036,0.0009700794,0.001130187,0.002239338,0.002485255,0.03282821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003654443,"about_ca_system_score_gemma":0.005657167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2002652,"about_ca_topic_score_gemma":0.3786915,"domain_scores_codex":[0.9980366,0.0003302867,0.0001720305,0.0005305063,0.0005863872,0.0003442235],"domain_scores_gemma":[0.9966503,0.0006867166,0.0002571639,0.0006725595,0.001239041,0.0004942678],"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":[0.0001390129,0.00009121792,0.001297569,0.0004625378,0.00005160511,0.00006036189,0.00001742336,0.0004463957,0.0002088387,0.0001988487,0.9926479,0.004378424],"study_design_scores_gemma":[0.0007838754,0.0001952723,0.02475679,0.000811132,0.0001990578,0.0005976875,0.0002874329,0.005074241,0.002006761,0.001363554,0.9637684,0.0001558843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001160393,0.0003347432,0.0002028557,0.0001877651,0.00006974787,0.00004648572,0.9963672,0.0006882119,0.0009424822],"genre_scores_gemma":[0.0007293824,0.00007249833,0.0003906011,0.00004521103,0.0000088422,0.00005107061,0.9980508,0.00002745595,0.0006241908],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7997348,"threshold_uncertainty_score":0.3981991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08391745215857344,"score_gpt":0.3847793661163684,"score_spread":0.3008619139577949,"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."}}