{"id":"W2168854672","doi":"10.1109/ccece.2007.309","title":"Localization of Electrical Outlet for a Mobile Robot Using Visual Servoing","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer vision; Artificial intelligence; Visual servoing; Computer science; Robot; Zoom; Robot end effector; Robotic arm; Mobile robot; Engineering; Lens (geology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002403065,0.00005590792,0.0000901541,0.00009157399,0.00006171357,0.00002393135,0.0001523934,0.00002260837,0.000005609613],"category_scores_gemma":[0.00003658792,0.00004993259,0.0000359314,0.000354722,0.00001209682,0.0002951591,0.00006030005,0.00003319853,0.000001777106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000294838,"about_ca_system_score_gemma":0.00002475427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006976441,"about_ca_topic_score_gemma":0.000001936159,"domain_scores_codex":[0.9993327,0.000009260195,0.0001903344,0.0001594957,0.0001212481,0.0001869697],"domain_scores_gemma":[0.9996054,0.00008165957,0.00005943755,0.0001124137,0.0000981455,0.00004291464],"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":[0.00004079697,0.0002099233,0.001564815,0.00004160684,0.00001171934,0.000003787884,0.0005518981,0.06365626,0.08180381,0.02288755,0.0002032652,0.8290246],"study_design_scores_gemma":[0.0001912284,0.00007330709,0.00004674864,0.000009581036,0.000001568256,0.000003813226,0.00002899979,0.9425184,0.05557271,0.0005352429,0.0009547813,0.0000636193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002482683,0.00003182,0.9969699,0.00001822106,0.00007600489,0.0001394154,1.322123e-7,0.00006065634,0.0002212116],"genre_scores_gemma":[0.4598486,0.000001209512,0.539826,0.0002433016,0.00002377692,0.000001639414,6.853562e-7,0.000004710582,0.00005001629],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8788621,"threshold_uncertainty_score":0.2036192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207236384581064,"score_gpt":0.3580645337937038,"score_spread":0.3373408953355975,"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."}}