{"id":"W2119400628","doi":"10.1109/mhs.2002.1058044","title":"Perception driven robotic assembly based on ecological approach","year":2003,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Robot; Affordance; Perception; Action (physics); Computer science; Set (abstract data type); Artificial intelligence; Generator (circuit theory); Robot control; Autonomous robot; Human–computer interaction; Mobile robot; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008308917,0.00008114203,0.00008079343,0.00005462208,0.0000434479,0.00002533567,0.00003912985,0.00006932732,0.001194583],"category_scores_gemma":[0.00003037171,0.00006946977,0.00003697319,0.00008634815,0.000006116349,0.00004256379,0.000002304284,0.0001303644,0.000325865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005221309,"about_ca_system_score_gemma":0.000004533174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.122865e-7,"about_ca_topic_score_gemma":7.382556e-7,"domain_scores_codex":[0.9995306,0.00004912175,0.00008965268,0.0001088898,0.00009030994,0.0001314761],"domain_scores_gemma":[0.9998119,0.00003149749,0.000007986217,0.00009511298,0.000009070388,0.00004446083],"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":[6.798043e-7,0.00003678511,0.001187048,0.00000632362,0.000002371687,6.74435e-7,0.00002050077,0.9956675,0.0004621287,0.001917061,0.0004649396,0.00023395],"study_design_scores_gemma":[0.0001485726,0.00002854585,0.05474136,0.000002371504,0.000003183328,0.000001263165,0.00006336159,0.9443109,0.00002286445,0.000009565522,0.0005751222,0.00009286295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03633003,0.000002054145,0.6615872,0.00003072851,0.0001085463,0.00008958582,1.813554e-8,0.0003923042,0.3014596],"genre_scores_gemma":[0.9837052,8.810421e-7,0.01543478,0.0001559008,0.00002268143,0.000008273036,0.000007515606,0.00001411468,0.00065069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9473751,"threshold_uncertainty_score":0.9997185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283776109517649,"score_gpt":0.2310584769772591,"score_spread":0.2026808660254942,"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."}}