{"id":"W4415256854","doi":"10.1109/jsen.2025.3620154","title":"Evaluation of Fiber-Optic Shape Sensing Models for Minimally Invasive Prostate Needle Procedures Using OFDR Data","year":2025,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Curvature; Interpolation (computer graphics); Cadaveric spasm; Computation; Reflectometry; Orientation (vector space); Homogeneous; Linear interpolation","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":[0.001547681,0.000663194,0.0003332352,0.0003984616,0.0001643393,0.0004821796,0.0007740274,0.0007390818,0.0007237532],"category_scores_gemma":[0.003939295,0.0002631688,0.0005277812,0.0002367255,0.0002321231,0.0006039134,0.0004838048,0.0003715167,0.0002098115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004574834,"about_ca_system_score_gemma":0.0006698399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00209427,"about_ca_topic_score_gemma":0.002678831,"domain_scores_codex":[0.9993586,0.0001701361,0.00003417848,0.00009807583,0.0003068334,0.000032072],"domain_scores_gemma":[0.9982559,0.0009894388,0.0001930031,0.0002266135,0.0002976435,0.00003736496],"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":[0.0005526001,0.000237084,0.005665439,0.0004515712,0.0001122303,0.0001270712,0.0002549777,0.6794931,0.1449143,0.001436032,0.0003071289,0.1664485],"study_design_scores_gemma":[0.00001113616,0.000413746,0.001582121,0.00001821288,0.00002145233,0.0001161962,0.00004245196,0.9461232,0.05067784,0.0001826492,0.0007852238,0.00002582374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4584364,0.0004224949,0.5383714,0.0001253491,0.00002249266,0.0001679269,0.0002123719,0.0009423729,0.001299197],"genre_scores_gemma":[0.7901643,0.0003643843,0.2084258,0.00003586427,0.000005809524,0.0000907247,0.0002395519,0.0001069606,0.0005665577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00209427,"threshold_uncertainty_score":0.008185029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07686898099057335,"score_gpt":0.397007188725078,"score_spread":0.3201382077345046,"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."}}