{"id":"W4400835430","doi":"10.5539/cis.v17n2p7","title":"Study of the Simulation and Application of the PEEC Method for Modeling the Prediction of Emissions Radiated by the Onboard Electronic Wiring System","year":2024,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001157457,0.00005525424,0.00008569993,0.00008150521,0.0004759963,0.00006329356,0.0003157673,0.00002144292,2.318265e-7],"category_scores_gemma":[0.00005882433,0.00002479249,0.00002357368,0.0006206232,0.0002520273,0.0005436856,0.0001521609,0.00006364897,2.059034e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002799309,"about_ca_system_score_gemma":0.00003986784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001671666,"about_ca_topic_score_gemma":0.000001435064,"domain_scores_codex":[0.9991748,0.0000532102,0.0003230445,0.0001040772,0.0002546245,0.00009021415],"domain_scores_gemma":[0.9992317,0.0001763065,0.0001987102,0.0002366265,0.0001465272,0.00001011724],"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":[0.00002530429,0.00004955578,0.002440919,0.0003189288,0.00004176372,7.186782e-9,0.03465428,0.7742307,0.1095622,0.03261213,0.0001897657,0.04587447],"study_design_scores_gemma":[0.0001152028,0.00004468354,0.004697327,0.00002823424,0.00001981971,0.00000213193,0.002231396,0.988645,0.003842864,0.000159689,0.0001902936,0.00002336043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7331161,0.00009320079,0.2657981,0.0001988843,0.0001247355,0.0006066668,0.00001548493,0.00002859731,0.00001820393],"genre_scores_gemma":[0.9995108,0.000008994989,0.0004167611,0.00002475029,0.000008684431,0.00002607622,6.62967e-7,0.000002037922,0.000001249271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2663946,"threshold_uncertainty_score":0.3661027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667017829475265,"score_gpt":0.2873435659086246,"score_spread":0.270673387613872,"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."}}