{"id":"W2149774302","doi":"10.5151/meceng-wccm2012-18265","title":"THERMO-ELECTRO-MECHANICAL INVESTIGATION OF VOLTAGE DROP IN ANODE ASSEMBLY USING FINITE ELEMENT METHOD","year":2014,"lang":"en","type":"article","venue":"Blucher Mechanical Engineering Proceedings","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rio Tinto (Canada); Université du Québec à Chicoutimi","funders":"","keywords":"Anode; Materials science; Voltage drop; Finite element method; Voltage; Parametric statistics; Overheating (electricity); Thermal; Stub (electronics); Drop (telecommunication); Composite material; Thermal expansion; Mechanical engineering; Structural engineering; Engineering; Electrical engineering; Electrode; Thermodynamics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002750399,0.0002923389,0.0002909389,0.0002990524,0.0001926405,0.0003007382,0.0004993367,0.0006132483,0.001714549],"category_scores_gemma":[0.0005164468,0.0002484249,0.0003636678,0.0001795689,0.0003144287,0.000311104,0.0001909244,0.0002959272,0.0002371498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309216,"about_ca_system_score_gemma":0.0002747429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009641673,"about_ca_topic_score_gemma":0.0009251297,"domain_scores_codex":[0.9998474,0.00001926669,0.000007421568,0.00002310863,0.00008949829,0.00001331631],"domain_scores_gemma":[0.9997482,0.000151599,0.00002447956,0.00003014473,0.00003981436,0.000005893433],"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":[0.0001248628,0.0001364677,0.003040061,0.0003111259,0.00003040281,0.0002919022,0.0005273431,0.5374665,0.4186045,0.004737799,0.0002918746,0.03443719],"study_design_scores_gemma":[0.000003438932,0.00005283231,0.0009244666,0.00000807446,0.000004570314,0.00004909161,0.0000340166,0.9642733,0.03362849,0.0002620521,0.0007527671,0.00000691345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5700288,0.0003277355,0.4206599,0.0001497061,0.00003256398,0.00008868573,0.000229778,0.000752393,0.007730525],"genre_scores_gemma":[0.9506673,0.000137313,0.04679968,0.00001551193,0.000003066237,0.00005966174,0.00007416282,0.00002501197,0.002218283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001714549,"threshold_uncertainty_score":0.005735755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985150546868972,"score_gpt":0.2521098097559288,"score_spread":0.2322583042872391,"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."}}