{"id":"W1611872958","doi":"10.1109/icsmc.1999.825365","title":"Sensing contact with analog resistive technology","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Tactile sensor; Resistive touchscreen; Computer science; Silicone rubber; Artificial intelligence; Robotics; Proximity sensor; Computer vision; Electronic engineering; Robot; Engineering; Materials science","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":[0.0002607962,0.0005048691,0.0004267477,0.0004799201,0.0003477305,0.001280677,0.0009850994,0.001006636,0.004536747],"category_scores_gemma":[0.001341222,0.0003129826,0.0003339429,0.0005020885,0.0006155936,0.001875877,0.001024228,0.0005935621,0.002153493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428852,"about_ca_system_score_gemma":0.0001373017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001039711,"about_ca_topic_score_gemma":0.0001337643,"domain_scores_codex":[0.9991905,0.00009879017,0.00003917119,0.0001573417,0.0004686486,0.00004557626],"domain_scores_gemma":[0.999379,0.0002338469,0.00007354011,0.0001581314,0.0001282881,0.000027114],"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":[0.0001360538,0.00006879698,0.000792435,0.0003718386,0.00002174311,0.0004177874,0.0002530527,0.005473006,0.8272268,0.02758141,0.002200952,0.1354561],"study_design_scores_gemma":[0.00004416532,0.000768879,0.001559128,0.0001012594,0.000060481,0.002965335,0.0002008328,0.1058503,0.7576366,0.02968544,0.1010047,0.000122762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05825135,0.002329678,0.9070678,0.0005702761,0.0005382828,0.000117209,0.0002067348,0.001917399,0.02900119],"genre_scores_gemma":[0.6301238,0.002238449,0.3437494,0.0008143686,0.0003664872,0.0001925196,0.0002299193,0.0001954031,0.02208972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004536747,"threshold_uncertainty_score":0.01517695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007245214732899291,"score_gpt":0.1951661026602587,"score_spread":0.1879208879273594,"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."}}