{"id":"W3206520832","doi":"10.29173/mocs167","title":"Robotic Assembly System for Steel Structures","year":2015,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beam (structure); Rotation (mathematics); Process (computing); Computer science; Mechanical engineering; Position (finance); Flywheel; Engineering; Structural engineering; Simulation; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004805833,0.001042515,0.0006215427,0.001020723,0.0007937907,0.0004915035,0.001277675,0.000701164,0.01524761],"category_scores_gemma":[0.0005653476,0.0004329725,0.0006145032,0.0004071976,0.0003292431,0.000534134,0.0009766151,0.0005362572,0.006517813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004446251,"about_ca_system_score_gemma":0.001057099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002840433,"about_ca_topic_score_gemma":0.002395629,"domain_scores_codex":[0.9994655,0.00004643276,0.00003244034,0.0001145161,0.000288651,0.00005249221],"domain_scores_gemma":[0.9996371,0.00003003373,0.00004443585,0.00006905331,0.0001755706,0.00004384325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004369289,0.0003171489,0.002452099,0.0008982967,0.00007639637,0.000879251,0.0005546401,0.03046453,0.4027441,0.005881723,0.03487739,0.5204175],"study_design_scores_gemma":[0.0004005966,0.002822482,0.01426167,0.0002004569,0.0001766345,0.002678403,0.0002087035,0.3930458,0.1833597,0.002997257,0.3994631,0.0003851576],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0315504,0.0005184393,0.9147429,0.0001585968,0.0003959609,0.0007349741,0.0005643777,0.03051473,0.02081947],"genre_scores_gemma":[0.2950267,0.0004286006,0.6555765,0.0001805184,0.0001118249,0.001133437,0.001834885,0.0007015362,0.04500595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01524761,"threshold_uncertainty_score":0.05100834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363170948964901,"score_gpt":0.2188757769199144,"score_spread":0.1952440674302654,"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."}}