{"id":"W2139362522","doi":"10.1109/robot.2002.1013476","title":"Robotic acquisition of deformable models","year":2003,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Computer science; Computer vision; Robotics; Computer graphics; Robot; Robotic arm; Object (grammar); Virtual reality; Haptic technology; Position (finance); Computer graphics (images)","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":[0.0004228812,0.0007069362,0.000570366,0.0007046745,0.0003962447,0.0007356714,0.001196847,0.0007334442,0.003048083],"category_scores_gemma":[0.001151006,0.0006934604,0.0005560041,0.0005386929,0.0005815518,0.001300582,0.0012722,0.001034754,0.00170099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213936,"about_ca_system_score_gemma":0.0005602773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009534745,"about_ca_topic_score_gemma":0.001950526,"domain_scores_codex":[0.9994853,0.00004269914,0.00002106454,0.0001098075,0.0003153875,0.00002572087],"domain_scores_gemma":[0.9994317,0.0001014426,0.00008457719,0.0002926414,0.00006542729,0.00002424333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001212928,0.0001557154,0.001389688,0.0003855367,0.00009512078,0.0003287661,0.0002779242,0.09669526,0.2739267,0.03933635,0.007912651,0.579375],"study_design_scores_gemma":[0.00004598965,0.0003392142,0.004068441,0.00007837337,0.00006953834,0.001645404,0.00008578433,0.5919122,0.2246714,0.03188257,0.1450266,0.0001744751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004229366,0.0002203917,0.9920409,0.00009332346,0.00002932271,0.00004289333,0.0001022716,0.001055127,0.002186271],"genre_scores_gemma":[0.08868436,0.0006847674,0.9068439,0.0001316535,0.00004289276,0.0001371571,0.0004940282,0.0001755367,0.002805721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003048083,"threshold_uncertainty_score":0.01019686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04751593443423541,"score_gpt":0.2501129382725233,"score_spread":0.2025970038382879,"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."}}