{"id":"W2293713278","doi":"10.1109/jsen.2015.2510287","title":"A Novel Force Sensing Method Based on Stress Imaging Analysis","year":2015,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; École de Technologie Supérieure","funders":"","keywords":"Torque; Stress (linguistics); Finite element method; Robotics; Computer science; Robot; Capacitance; Mechanical engineering; Acoustics; Electronic engineering; Engineering; Artificial intelligence; Electrode; Structural engineering; 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":[0.0003784302,0.0007763722,0.0005885729,0.001452825,0.0003988376,0.0006520138,0.001194877,0.0009004454,0.001877045],"category_scores_gemma":[0.0008518703,0.0004192085,0.0003812216,0.000682564,0.0006152907,0.001751971,0.0006143888,0.0007607265,0.0008406586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004364844,"about_ca_system_score_gemma":0.0003953002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003973436,"about_ca_topic_score_gemma":0.0008124232,"domain_scores_codex":[0.9992974,0.00005346522,0.00003939455,0.0001841196,0.0003870615,0.00003856674],"domain_scores_gemma":[0.9992633,0.0002103224,0.000130366,0.00009366337,0.0002538523,0.00004847495],"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":[0.0000618743,0.00004853166,0.0006265601,0.0002120793,0.00001997711,0.00008667643,0.0001130296,0.0008439944,0.8815155,0.00336485,0.0006753919,0.1124316],"study_design_scores_gemma":[0.00002769787,0.0003781627,0.002501239,0.00004820535,0.0000569015,0.001462809,0.00009447209,0.08970487,0.8808709,0.00253445,0.02217579,0.0001444999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03125642,0.00128476,0.9627217,0.0001966377,0.0003107795,0.000112898,0.0001319092,0.001032101,0.002952894],"genre_scores_gemma":[0.1945634,0.0009987565,0.799971,0.0001963158,0.0001978431,0.0002026861,0.0001455784,0.0001448114,0.003579461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001877045,"threshold_uncertainty_score":0.006279349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743315406469299,"score_gpt":0.2785424029270945,"score_spread":0.2511092488624015,"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."}}