{"id":"W4239450216","doi":"10.1055/s-2006-931858","title":"3 Tesla Magnetic Resonance (MR) Microimaging of Primary Cutaneous Melanoma","year":2006,"lang":"de","type":"article","venue":"RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Institute for Biodiagnostics","funders":"","keywords":"Magnetic resonance imaging; Optical coherence tomography; Melanoma; Nuclear magnetic resonance; Materials science; Medicine; Radiology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005592827,0.000243389,0.0002211284,0.0003319657,0.0001522865,0.000230579,0.0001427161,0.0003811373,0.002612489],"category_scores_gemma":[0.0005422455,0.0001272274,0.0001921558,0.00006786364,0.000183089,0.000305614,0.0001127759,0.000322661,0.000820256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169228,"about_ca_system_score_gemma":0.0001934233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005437849,"about_ca_topic_score_gemma":0.0006484761,"domain_scores_codex":[0.9998944,0.00003196957,0.000008359525,0.00001845895,0.00002168697,0.00002510833],"domain_scores_gemma":[0.9997292,0.00009616189,0.0000379106,0.00003317066,0.00006054256,0.00004297125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001168535,0.0001934623,0.004474684,0.0001706581,0.00002296705,0.0005371346,0.0000630959,0.0002848951,0.9766002,0.00006980378,0.0003668691,0.01604773],"study_design_scores_gemma":[0.0001616228,0.007509228,0.07018635,0.00009494233,0.0002192282,0.0138154,0.000124716,0.003443131,0.8969847,0.0001608779,0.007270954,0.0000288942],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780589,0.006424337,0.01046743,0.0002344492,0.00006550264,0.00009549666,0.000138722,0.0003203297,0.004194764],"genre_scores_gemma":[0.9909633,0.001387087,0.005943219,0.0001496796,0.00003517716,0.00005729175,0.0001107462,0.00003688135,0.001316747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002612489,"threshold_uncertainty_score":0.00873971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007431743594058302,"score_gpt":0.211692386700683,"score_spread":0.2042606431066247,"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."}}