{"id":"W7002315340","doi":"","title":"MRS on breast fine needle aspirate biopsy determines pathology, vascularization and nodal involvement","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biopsy; NODAL; Breast biopsy; Fine-needle aspiration; Fine needle biopsy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007797453,0.000440647,0.0005058243,0.001642827,0.0005253457,0.0006043395,0.0006540636,0.001224674,0.02323891],"category_scores_gemma":[0.003867351,0.0002022361,0.0003725436,0.0005541072,0.0004652401,0.0005211863,0.0002776016,0.0004193382,0.006913722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006223455,"about_ca_system_score_gemma":0.0004685214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00331249,"about_ca_topic_score_gemma":0.008705428,"domain_scores_codex":[0.9995301,0.00007417356,0.00004712439,0.00007349443,0.0001673084,0.0001079144],"domain_scores_gemma":[0.9984485,0.0003987082,0.0001155899,0.0001221781,0.0006248514,0.0002901634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003054457,0.0003472082,0.6728718,0.000511874,0.0001805479,0.07434574,0.0003520918,0.0006603996,0.09677082,0.0007041458,0.04861457,0.1015864],"study_design_scores_gemma":[0.000142133,0.001335753,0.8062429,0.0002834447,0.0003439479,0.120001,0.001061369,0.001745832,0.02754872,0.0009688149,0.04028298,0.00004306663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8238938,0.00411262,0.001988218,0.01095004,0.001052357,0.0002487421,0.003915496,0.0003729474,0.1534657],"genre_scores_gemma":[0.9681224,0.001874058,0.001929388,0.001135558,0.0006372184,0.00004497984,0.002383305,0.0001276108,0.02374557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02323891,"threshold_uncertainty_score":0.07774186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594935488359285,"score_gpt":0.2553106469448707,"score_spread":0.2393612920612779,"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."}}