{"id":"W2896130158","doi":"10.1088/1367-2630/aae3fb","title":"Phase cascade lattice rectifier array: an exactly solvable nonlinear network circuit","year":2018,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Physics; Cascade; Nonlinear system; Lattice (music); Rectifier (neural networks); Topology (electrical circuits); Phase (matter); Quantum mechanics; Electrical engineering; Artificial neural network","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":[0.000364766,0.000230574,0.0003507501,0.00004351714,0.0001223316,0.0001051696,0.0003931919,0.0001408407,0.00006995475],"category_scores_gemma":[0.00004186659,0.0002311168,0.0001169603,0.0003782735,0.00006673682,0.0006285756,0.00002032115,0.0006730256,0.00003508562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008918023,"about_ca_system_score_gemma":0.0001146431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000215628,"about_ca_topic_score_gemma":0.00003230033,"domain_scores_codex":[0.9985201,0.00005651344,0.0004670619,0.0001544353,0.0003358762,0.0004660273],"domain_scores_gemma":[0.9987512,0.0001282769,0.0002332689,0.0003323537,0.0002271394,0.0003277999],"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":[0.00007520816,0.0003212704,0.0001290878,0.00004295356,0.0003091106,0.00007610532,0.0009591007,0.7627381,0.0327496,0.00158421,0.03860295,0.1624123],"study_design_scores_gemma":[0.008790424,0.003682039,0.0002600255,0.001410643,0.0006050355,0.0007374493,0.000186008,0.4307023,0.2063801,0.02747176,0.3177325,0.002041634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5181049,0.001129377,0.4595646,0.0001016143,0.00613296,0.0001313434,0.000006876568,0.0003596602,0.0144687],"genre_scores_gemma":[0.8889753,0.0001742636,0.05363505,0.0003140409,0.05606246,0.000001741294,0.00001006994,0.0002093335,0.0006177237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4059296,"threshold_uncertainty_score":0.942467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02922826621837768,"score_gpt":0.2674852383966059,"score_spread":0.2382569721782282,"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."}}