{"id":"W2055422397","doi":"10.4006/1.3025533","title":"Hamilton Formulation for the Analysis of RLC Circuits","year":2002,"lang":"en","type":"article","venue":"Physics Essays","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"RLC circuit; Physics; Electronic circuit; Quantum mechanics; Capacitor; Voltage","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":[0.00009585614,0.0001076532,0.0001870558,0.00008130058,0.00006377893,0.00001711564,0.0001545861,0.00003734017,0.00003324898],"category_scores_gemma":[0.000006737387,0.00008601056,0.0001439661,0.0007086244,0.00001348483,0.0001992288,0.000007773331,0.00006246968,0.00001866022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003487294,"about_ca_system_score_gemma":0.000002363978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005014132,"about_ca_topic_score_gemma":0.000003979318,"domain_scores_codex":[0.9993902,0.000006346869,0.0001762709,0.00009964935,0.0001533119,0.0001741687],"domain_scores_gemma":[0.999425,0.0001483374,0.00004671346,0.0003010891,0.00005693934,0.00002194508],"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":[0.000002736145,0.00005257105,0.000830312,0.0001069445,0.001129078,2.161856e-7,0.002353627,0.9043733,0.009127382,0.02932492,0.001826612,0.05087233],"study_design_scores_gemma":[0.0001855068,0.00001270056,0.001105068,0.000006299569,0.000462621,9.166256e-8,0.00001368858,0.9881878,0.007210193,0.002244175,0.0004601761,0.000111718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1542896,0.0006434314,0.8179088,0.00004255304,0.0004935038,0.0006175954,0.00007531189,0.0002967316,0.02563245],"genre_scores_gemma":[0.9994723,0.00007865924,0.000167226,0.00001470864,0.0001105003,0.00004373278,0.00002006284,0.00002511538,0.0000677206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8451827,"threshold_uncertainty_score":0.3507409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957894172429234,"score_gpt":0.2200041661748895,"score_spread":0.1904252244505972,"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."}}