{"id":"W13522971","doi":"10.22260/isarc2013/0143","title":"Design of Teach Pendant for Robot Glazing System","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glazing; Robot; Engineering; Computer science; Simulation; Architectural engineering; Artificial intelligence; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002573293,0.00008509891,0.0001661016,0.00006216762,0.00005568197,0.0000288612,0.0002275298,0.00004693554,0.00002338326],"category_scores_gemma":[0.00004501048,0.00006484919,0.00004518871,0.0001459687,0.00004184355,0.0001499438,0.0000341789,0.00004802152,0.000005089939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003309646,"about_ca_system_score_gemma":0.00001012027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009047525,"about_ca_topic_score_gemma":2.738023e-8,"domain_scores_codex":[0.9993755,0.000002726872,0.0003101137,0.00007936609,0.0001030126,0.0001292637],"domain_scores_gemma":[0.9994424,0.00003234154,0.0001193691,0.00007462202,0.0003188571,0.00001242443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005287563,0.000002209526,0.0001761407,0.000626751,0.00003393035,7.699091e-9,0.0001691127,0.0005902655,0.9812155,0.01404506,0.00190281,0.001232935],"study_design_scores_gemma":[0.0002202459,0.00002686704,0.0001667983,0.0002076588,0.00003053521,0.00001302334,0.00105751,0.01952095,0.9770968,0.00118304,0.0003585426,0.0001180297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612643,0.00007565099,0.02747504,0.0001299166,0.001073901,0.001234045,0.00001232872,0.0002177157,0.008517073],"genre_scores_gemma":[0.9753311,0.000002587059,0.02437673,0.000007475839,0.00007902981,0.00009399642,4.187199e-7,0.00001856704,0.00009015017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01893068,"threshold_uncertainty_score":0.2644473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159361976105848,"score_gpt":0.2027218819608851,"score_spread":0.1867856843503003,"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."}}