{"id":"W4353115879","doi":"10.4204/eptcs.397.5","title":"Normalizing Resistor Networks","year":2023,"lang":"en","type":"article","venue":"Electronic Proceedings in Theoretical Computer Science","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Waterloo","funders":"","keywords":"Rewriting; Resistor; Electronic circuit; Computer science; Quantum; Topology (electrical circuits); Physics; Electrical engineering; Quantum mechanics; Voltage; 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":[0.003254657,0.0002557827,0.0002575902,0.0006780389,0.0005553048,0.0006086913,0.003434805,0.00008450744,0.000005319655],"category_scores_gemma":[0.0001451403,0.0002252681,0.00007627218,0.006429981,0.0009826733,0.0006799143,0.001654895,0.0007392145,0.00004766205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354562,"about_ca_system_score_gemma":0.0002361686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003741419,"about_ca_topic_score_gemma":0.000001056256,"domain_scores_codex":[0.9958453,0.00003062846,0.0003651441,0.001091479,0.0007495967,0.001917844],"domain_scores_gemma":[0.9989628,0.0001839177,0.00008989118,0.0003910103,0.0001458022,0.0002265907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004944467,0.00002189776,0.0001558819,0.000007802993,0.000002502994,0.00001463756,0.0004415539,0.005299242,0.0001905205,0.9595413,0.0001796367,0.03414012],"study_design_scores_gemma":[0.0001829004,0.0001749214,0.001431633,0.00004978088,0.00000131042,0.00005406782,0.000006408307,0.8704107,0.0004880994,0.1264509,0.0004857418,0.0002634749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1602761,0.0001422355,0.8331324,0.002063607,0.0007310395,0.0002273717,2.244496e-7,0.001155901,0.002271102],"genre_scores_gemma":[0.9717446,0.0000264304,0.0274981,0.0004090445,0.0002764563,0.00001489188,4.719752e-7,0.00001570496,0.0000143306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8651115,"threshold_uncertainty_score":0.9186168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004568360625917888,"score_gpt":0.2249425239763987,"score_spread":0.2203741633504808,"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."}}