{"id":"W1989042499","doi":"10.1109/tdc.2014.6863242","title":"Determining transmission line conductor condition and remaining life","year":2014,"lang":"en","type":"article","venue":"","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinectrics (Canada)","funders":"","keywords":"Overhead (engineering); Computer science; Asset (computer security); Transmission line; Process (computing); Simple (philosophy); Line (geometry); Electric power transmission; Reliability engineering; Engineering; Mathematics; Telecommunications; Electrical engineering; Computer security","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":[0.00008479816,0.00006801163,0.0001211469,0.00002914241,0.00004024704,0.00002024669,0.00003064101,0.00004580799,0.0003167184],"category_scores_gemma":[0.0000307453,0.00005523247,0.00002572941,0.00004658899,0.000008590071,0.00005907808,0.000005967059,0.00005853743,0.000007373854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003623292,"about_ca_system_score_gemma":0.000001568798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004096497,"about_ca_topic_score_gemma":0.000002503247,"domain_scores_codex":[0.9996039,0.00001285782,0.0001309669,0.00009306082,0.0000604529,0.00009876634],"domain_scores_gemma":[0.9997531,0.00004132823,0.00001179352,0.00006799895,0.000009806338,0.0001159649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009681256,0.00002213639,0.001187329,0.0002086105,0.0001414281,0.000005464993,0.0004225291,0.006340751,0.2347245,0.01015203,0.0006481147,0.7461374],"study_design_scores_gemma":[0.0002930272,0.00004903639,0.000529658,0.00004843032,0.00003536085,0.000001490304,0.00004233093,0.9793104,0.01526543,0.0005005572,0.003768814,0.000155477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5007961,0.0001332797,0.4931157,0.00008146711,0.0000526649,0.00003813476,0.000001557224,0.0001968932,0.005584128],"genre_scores_gemma":[0.9966457,0.00006626199,0.003049525,0.00009339522,0.00005803253,0.000002685744,0.000007416098,0.00000979678,0.00006712978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9729697,"threshold_uncertainty_score":0.3467844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610547451740498,"score_gpt":0.2242274319275941,"score_spread":0.2081219574101891,"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."}}