{"id":"W4405495513","doi":"10.1007/978-3-031-61503-0_25","title":"Robotic Programming for Simplified Construction Applications","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Programming language; Software engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001112787,0.0004365576,0.0004234687,0.0005477464,0.00005118789,0.0001216108,0.0001550747,0.0005213619,0.0001053028],"category_scores_gemma":[0.00003592009,0.0005053605,0.0001328418,0.0001874297,0.00004391121,0.00007081856,0.00002996894,0.0005295275,0.00003713428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002318914,"about_ca_system_score_gemma":0.00003362147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001334513,"about_ca_topic_score_gemma":0.00002593216,"domain_scores_codex":[0.9986318,0.000001923019,0.0005450578,0.0003636735,0.0001311552,0.0003264021],"domain_scores_gemma":[0.9993217,0.0001808576,0.00005729494,0.0003194932,0.0000796531,0.00004101517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003944426,0.000001417697,0.000001640011,0.001658729,0.0001732063,0.000004765349,0.00004882855,0.6678876,0.00262867,0.2324816,0.00006282129,0.09504673],"study_design_scores_gemma":[0.000456494,0.00004456983,0.000001778911,0.001357774,0.0002840379,0.000163358,0.000006946663,0.1315858,0.00518816,0.1657763,0.6933996,0.00173525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00001904152,0.001562029,0.972807,0.00004750826,0.002500932,0.001106492,0.00006676627,0.001110595,0.02077958],"genre_scores_gemma":[0.4924925,0.001009203,0.4695172,0.0002193747,0.0117595,0.007168846,0.001890499,0.002531263,0.01341167],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6933368,"threshold_uncertainty_score":0.9997398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009910007168486891,"score_gpt":0.2158694290398826,"score_spread":0.2059594218713957,"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."}}