{"id":"W2619032918","doi":"10.11159/icbes17.129","title":"The Development of a Physical Spinal Cord Surrogate with Localized Transverse Compression Sensing Capabilities","year":2017,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Hôpital du Sacré-Cœur de Montréal; Université de Montréal","funders":"","keywords":"Transverse plane; Computer science; Compression (physics); Materials science; Physics; Biomedical engineering; Electronic engineering; Engineering; Structural engineering; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008529595,0.0002974053,0.0003601447,0.0002179935,0.000138756,0.0007329129,0.0006146371,0.0008717639,0.001432687],"category_scores_gemma":[0.002221104,0.0002196336,0.0002716276,0.0001843873,0.0004373453,0.0007934055,0.0009578121,0.0006929121,0.0005462166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159065,"about_ca_system_score_gemma":0.0006159531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001370885,"about_ca_topic_score_gemma":0.0002552183,"domain_scores_codex":[0.9996313,0.0001090941,0.00002362122,0.00004273573,0.0001760661,0.00001729894],"domain_scores_gemma":[0.9993513,0.0002082854,0.00007961142,0.0001012261,0.0001949611,0.00006455102],"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":[0.0004670585,0.0002711358,0.002824177,0.0005736208,0.00008285508,0.001274589,0.0002059236,0.2143118,0.5218016,0.04956953,0.00322987,0.2053878],"study_design_scores_gemma":[0.00003536219,0.0007952559,0.0008037076,0.00006312919,0.00002712161,0.00148552,0.00004312829,0.9047189,0.07530452,0.005433663,0.01125032,0.00003934245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01565136,0.0002858519,0.9804463,0.0003785826,0.00009603251,0.00006017722,0.00006999746,0.000199651,0.002812128],"genre_scores_gemma":[0.4858455,0.0008803307,0.5062675,0.000314503,0.00007496525,0.0002036513,0.0002476941,0.00009603291,0.006069823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001432687,"threshold_uncertainty_score":0.004792809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009293164592613982,"score_gpt":0.2163918450018989,"score_spread":0.2070986804092849,"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."}}