{"id":"W2115088580","doi":"10.1109/biorob.2008.4762883","title":"Towards a miniaturized embeddable bend sensor for multi-DOF robotic systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Miniaturization; Measure (data warehouse); Robot; Rotation (mathematics); Computer science; Electronics; Electronic engineering; Electrical engineering; Artificial intelligence; 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":[0.0005073601,0.000669501,0.0006155191,0.0004146142,0.0001957232,0.0007242081,0.001345983,0.001195598,0.002175622],"category_scores_gemma":[0.0009014962,0.0004838943,0.0002915765,0.0001921423,0.0005832298,0.001514971,0.0005008737,0.0009303652,0.0006935882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004831495,"about_ca_system_score_gemma":0.0002878395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002114206,"about_ca_topic_score_gemma":0.0004213214,"domain_scores_codex":[0.9994882,0.00007551888,0.00001768972,0.0000998922,0.0002879351,0.00003074302],"domain_scores_gemma":[0.9995065,0.0001492536,0.00007030165,0.0000571356,0.0001793564,0.00003748041],"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":[0.00007987345,0.00006314246,0.0002495833,0.0001930604,0.00001648235,0.0001371854,0.00006690941,0.003594419,0.9710506,0.004246532,0.0005775796,0.01972469],"study_design_scores_gemma":[0.00006275664,0.001397266,0.001679273,0.0000796449,0.00005266657,0.0008605547,0.00008165456,0.167327,0.8001523,0.002306198,0.0258937,0.000106858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1027357,0.002647528,0.8855897,0.0008253677,0.0004055686,0.0003500641,0.0001997883,0.001243571,0.006002826],"genre_scores_gemma":[0.2797128,0.0008496954,0.7144997,0.0002249569,0.00009235957,0.0001596647,0.0001265942,0.00005735091,0.004276909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002175622,"threshold_uncertainty_score":0.007278204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05077098541713154,"score_gpt":0.2674825563976881,"score_spread":0.2167115709805565,"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."}}