{"id":"W4412616832","doi":"10.32768/abc.6520237689199","title":"Image-Guided Pre-Operative Magnetic Seed Localization of Breast Lesions: Experience of a Northern Ontario Hospital with the Magnetic Occult Lesion Localization Instrument (MOLLI)","year":2025,"lang":"en","type":"article","venue":"Archives of Breast Cancer","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences North; NOSM University","funders":"","keywords":"Occult; Lesion; Medicine; Radiology; Magnetic resonance imaging; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009397395,0.0002335604,0.0003044948,0.0001787451,0.0001591497,0.00004163402,0.0006835398,0.00005083306,0.00004910925],"category_scores_gemma":[0.00001190486,0.0001697532,0.00008243612,0.0007459736,0.0006401039,0.0004043878,0.0002668259,0.0001305134,0.000001013981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887464,"about_ca_system_score_gemma":0.000692902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02039659,"about_ca_topic_score_gemma":0.02554455,"domain_scores_codex":[0.9981763,0.0001469957,0.0005154097,0.0004667289,0.0004612665,0.0002332881],"domain_scores_gemma":[0.9984905,0.00008943557,0.0003902628,0.0006057876,0.0003684939,0.0000555615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00143226,0.0008680706,0.3326239,0.0006206468,0.0002408591,0.000005491891,0.109896,0.08566118,0.02736623,0.001890251,0.0001930609,0.4392021],"study_design_scores_gemma":[0.001797357,0.0009580604,0.8283469,0.001265134,0.00009067835,0.00004521725,0.001498635,0.1432951,0.02167938,0.0005159846,0.0001583884,0.0003491365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4133234,0.0003383117,0.5840715,0.0008349832,0.000165947,0.0007350788,0.00004021162,0.00003588374,0.0004546771],"genre_scores_gemma":[0.9952155,0.00008338968,0.004212418,0.00007656932,0.00001954063,0.0001489496,0.000005947882,0.00001433223,0.0002233648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5818921,"threshold_uncertainty_score":0.9922367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006933717805809009,"score_gpt":0.2398190745504949,"score_spread":0.2328853567446859,"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."}}