{"id":"W4405369797","doi":"10.1111/mice.13394","title":"Training of construction robots using imitation learning and environmental rewards","year":2024,"lang":"en","type":"article","venue":"Computer-Aided Civil and Infrastructure Engineering","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Training (meteorology); Imitation; Robot; Computer science; Artificial intelligence; Human–computer interaction; Psychology; Geography; Social psychology","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":[0.00008779495,0.0001902056,0.0002034138,0.0002161061,0.00006263357,0.00008412901,0.00003641642,0.0000946593,0.00002541531],"category_scores_gemma":[0.0000111161,0.0002056154,0.00003725168,0.0001374667,0.00003911116,0.0002685851,0.00003418751,0.0003174752,5.474071e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004634868,"about_ca_system_score_gemma":0.000008652255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001737568,"about_ca_topic_score_gemma":3.560641e-7,"domain_scores_codex":[0.999254,0.00001624144,0.0002486307,0.0001965505,0.000108001,0.0001765584],"domain_scores_gemma":[0.9997732,0.00006134672,0.00003016985,0.00005762436,0.000007685837,0.00006996665],"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":[0.000001292098,7.56075e-7,0.000552932,0.0002201585,0.00003986164,0.000003520607,0.001243592,0.9088877,0.02635566,0.0003773903,0.000007358615,0.06230977],"study_design_scores_gemma":[0.0001372283,0.00002862737,0.00819439,0.000222777,0.00002335787,0.0001539387,0.0002295458,0.9896178,0.0004087784,0.00008614319,0.0007030873,0.000194277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4443219,0.001231255,0.5535654,0.000003776462,0.0004713443,0.00005230503,0.000001059649,0.000250777,0.0001021846],"genre_scores_gemma":[0.9697364,0.0001485671,0.02983895,0.000004140476,0.0002094305,0.000001644382,0.00001601571,0.00003994636,0.000004921516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5254145,"threshold_uncertainty_score":0.8384751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009077441832930497,"score_gpt":0.1974464831847504,"score_spread":0.1883690413518199,"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."}}