{"id":"W4389187911","doi":"10.3390/buildings13122990","title":"Vision-Based Guiding System for Autonomous Robotic Corner Cleaning of Window Frames","year":2023,"lang":"en","type":"article","venue":"Buildings","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Robot; Machine vision; Artificial intelligence; Robot welding; Computer vision; Process (computing); Engineering; Automation; Computer science; Image processing; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005359164,0.0001521462,0.0003188818,0.0002784247,0.0001132135,0.00005235336,0.0001139624,0.0001774847,0.000008379555],"category_scores_gemma":[0.0001215075,0.0001475647,0.0001497021,0.0004723404,0.00001476544,0.00008570244,0.00002000576,0.00008348122,0.00004040784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258891,"about_ca_system_score_gemma":0.00002460441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004554953,"about_ca_topic_score_gemma":8.910277e-7,"domain_scores_codex":[0.9989004,0.0000199195,0.0004244217,0.0001943698,0.0001802965,0.000280607],"domain_scores_gemma":[0.9993057,0.0002595918,0.00009857782,0.0001942057,0.00008242894,0.00005950401],"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":[0.00004905132,0.00001120155,0.0003489264,0.0009922973,0.0000695195,0.000007502334,0.0002406513,0.7990779,0.1697343,0.001326074,0.008715619,0.01942701],"study_design_scores_gemma":[0.001156405,0.0002104379,0.0004781226,0.0009666416,0.00004638313,0.000009042964,0.0005220657,0.8398607,0.1451619,0.00004192796,0.01120341,0.0003430557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8122926,0.0001052615,0.1809551,0.00003162367,0.003012714,0.0007188615,0.00001388863,0.001923559,0.0009463977],"genre_scores_gemma":[0.9981834,0.000001275933,0.001346612,0.000009067408,0.000243326,0.00004753779,0.000006272933,0.0000603194,0.0001022463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1858908,"threshold_uncertainty_score":0.6017513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798517670547752,"score_gpt":0.2503789445637304,"score_spread":0.2223937678582529,"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."}}