{"id":"W2059812117","doi":"10.4028/www.scientific.net/amm.723.90","title":"Large Equipment Hoisting Balance Beam Structure Optimization","year":2015,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Beam (structure); Balance (ability); Standardization; Engineering; Structural engineering; Seriation (archaeology); Computer science; Geology","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":[0.0001284458,0.00008949274,0.0001072372,0.00002529885,0.00004686771,0.00004929111,0.00004493076,0.00006144611,0.00003825104],"category_scores_gemma":[0.000006295036,0.00009016909,0.000005961721,0.00004511213,0.000001984067,0.00002971865,0.00002865908,0.00002880794,0.000006556638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002184195,"about_ca_system_score_gemma":0.000007885536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000196178,"about_ca_topic_score_gemma":8.407899e-7,"domain_scores_codex":[0.9995287,0.000003449353,0.0001457493,0.0001158647,0.00007558557,0.0001306527],"domain_scores_gemma":[0.9997551,0.000006926347,0.00002778371,0.0001137872,0.00002835664,0.0000679997],"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":[0.000008025179,0.0000131362,6.74333e-7,0.00003975181,0.00001431635,2.384796e-7,0.0003479998,0.5086084,0.149562,0.3406472,0.0004681645,0.0002900749],"study_design_scores_gemma":[0.001103233,0.0000193094,0.000003632336,0.00001675777,0.00002953298,0.000003636028,0.0002476271,0.8515542,0.09437142,0.04618321,0.00612333,0.0003441778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06729461,0.00004609932,0.9313256,0.00002031804,0.0002817124,0.000212156,0.00006334283,0.0002184959,0.0005376337],"genre_scores_gemma":[0.9737908,0.00003033637,0.02582624,0.00008443378,0.0000809701,0.00003415126,0.0001195573,0.00002203962,0.000011455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9064962,"threshold_uncertainty_score":0.3676988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628719786587417,"score_gpt":0.2261637950421677,"score_spread":0.2098765971762935,"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."}}