{"id":"W2315713888","doi":"10.1061/40642(253)32","title":"Reliability-Based Design of Transmission Line Structures - Direct Approach Using the Inverse Reliability Method","year":2002,"lang":"en","type":"article","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Serviceability (structure); Structural engineering; Transmission line; Reliability (semiconductor); Inverse; Reliability engineering; Design methods; Deflection (physics); Computer science; Engineering; Mathematics; Mechanical engineering; Electrical 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":[],"consensus_categories":[],"category_scores_codex":[0.01119915,0.0002548618,0.0005170868,0.0001703506,0.0002093153,0.00006933244,0.0009363705,0.0001785711,0.0007837062],"category_scores_gemma":[0.005756071,0.0001233727,0.0002321776,0.001141542,0.0003229178,0.0001682752,0.00005820885,0.000269306,0.000007975076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006438844,"about_ca_system_score_gemma":0.00009604434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000821959,"about_ca_topic_score_gemma":7.293737e-7,"domain_scores_codex":[0.9950359,0.001806986,0.0009523544,0.0007127501,0.001183043,0.0003089145],"domain_scores_gemma":[0.9914756,0.006370852,0.0002172367,0.00140506,0.0003848698,0.0001463785],"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":[0.00005168703,0.0001227172,0.0000631955,0.000030948,0.000008099308,7.497331e-7,0.0002739037,0.9868785,0.003233179,0.0003260004,0.001944617,0.007066362],"study_design_scores_gemma":[0.0002934283,0.0000767436,0.0001063148,0.00001218377,0.00004024234,0.00000368151,0.00009991339,0.9793107,0.005747057,0.01301533,0.001125896,0.0001684926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002268338,0.0001502725,0.9949144,0.0001978648,0.000139556,0.0005747647,0.000007390947,0.00009562502,0.001651792],"genre_scores_gemma":[0.3194568,0.000005599969,0.6799945,0.00008275943,0.00003068706,0.000008366462,8.806183e-7,0.00001376505,0.0004066457],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3171885,"threshold_uncertainty_score":0.8581033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1954412076838479,"score_gpt":0.3536920906042392,"score_spread":0.1582508829203913,"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."}}