{"id":"W2164834344","doi":"10.1109/robot.1996.509246","title":"Curvature based shape estimation using tactile sensing","year":2002,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Curvature; Tactile sensor; Surface (topology); Computer vision; Computer science; Spline (mechanical); Point (geometry); Artificial intelligence; Mathematics; Geometry; Engineering; Robot; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003334273,0.00007411382,0.00006266307,0.00006299384,0.00006022699,0.00004400326,0.00002378208,0.00005192393,0.002075141],"category_scores_gemma":[0.00001907125,0.00007637322,0.00002388312,0.0001345315,0.000004513428,0.0001477046,0.000003590668,0.0001153631,0.0001215456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003453244,"about_ca_system_score_gemma":0.000001702047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000627964,"about_ca_topic_score_gemma":0.000001747864,"domain_scores_codex":[0.9996297,0.00001102543,0.00009339712,0.00007289491,0.0000809915,0.0001119974],"domain_scores_gemma":[0.999833,0.00002272586,0.00001412849,0.00008253712,0.00001518017,0.00003244426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[2.93415e-7,0.000002110166,0.00009045689,0.00001066265,0.000003324061,0.000001629596,0.00005545331,0.9841584,0.002095535,0.00003086802,0.0007652331,0.01278604],"study_design_scores_gemma":[0.0000933484,0.000002323285,0.0004502478,0.00001526829,0.000005440974,0.000004361042,0.00001170675,0.9972658,0.0005233888,0.000005284738,0.001525249,0.00009759399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07596355,0.00007369518,0.8980659,0.00009259328,0.0002407038,0.00007104472,1.211815e-7,0.0007688719,0.0247235],"genre_scores_gemma":[0.9499142,8.276422e-7,0.04970018,0.0001098409,0.00005025706,2.200445e-7,0.000004410037,0.00002031074,0.0001997815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8739506,"threshold_uncertainty_score":0.9988371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.042363578274415,"score_gpt":0.2323213423101463,"score_spread":0.1899577640357313,"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."}}