{"id":"W2996454452","doi":"10.1109/jsen.2019.2959269","title":"Miniaturized Optical Force Sensor for Minimally Invasive Surgery With Learning-Based Nonlinear Calibration","year":2019,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Calibration; Miniaturization; Repeatability; RADIUS; Biomedical engineering; Bending; Nonlinear system; Acoustics; Materials science; Computer science; Engineering; Mathematics; Structural engineering; Physics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004382759,0.0005614028,0.0004079062,0.0003529701,0.0001598081,0.0002838623,0.0008651987,0.0007353899,0.001164944],"category_scores_gemma":[0.0008088875,0.0002954288,0.0002860201,0.0003101731,0.0003146649,0.0007691002,0.0004806297,0.0004070002,0.0002664098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003141323,"about_ca_system_score_gemma":0.0003742659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003095533,"about_ca_topic_score_gemma":0.0007482254,"domain_scores_codex":[0.9994007,0.00005599471,0.00002237484,0.0001006548,0.0003933505,0.00002679757],"domain_scores_gemma":[0.9996188,0.0001338528,0.00007287216,0.00003917304,0.0001197823,0.00001551471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001239598,0.00007936437,0.0008632318,0.0003403133,0.00002331131,0.000110637,0.00005524002,0.01178895,0.8709592,0.001396376,0.0009418637,0.1133175],"study_design_scores_gemma":[0.00004970627,0.000755139,0.003783339,0.00003235399,0.00004897057,0.0009283773,0.0000426363,0.324662,0.658608,0.0009080619,0.01006184,0.0001195429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07926258,0.001746988,0.9152445,0.0002348965,0.0001888693,0.0001550864,0.0001115979,0.0009296125,0.002125752],"genre_scores_gemma":[0.4811348,0.0008278262,0.5148767,0.0002634714,0.0000992659,0.0002424924,0.0001192869,0.00004534342,0.002390823],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001164944,"threshold_uncertainty_score":0.00389713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135552763997893,"score_gpt":0.2147893075630578,"score_spread":0.2034337799230788,"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."}}