{"id":"W414591211","doi":"","title":"Frequency dependent hybrid equivalents of large networks","year":2001,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Optical Network Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equivalent; Computer science; Chemistry; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009049084,0.0002978359,0.0003924375,0.0001237241,0.00002799246,0.0000165495,0.0003725982,0.0003992251,0.0002973646],"category_scores_gemma":[0.000044201,0.0003192334,0.0001044799,0.0002067322,0.00002029885,0.0000481684,0.0000380151,0.0005732821,0.00005825555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008475435,"about_ca_system_score_gemma":0.00001424814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000193512,"about_ca_topic_score_gemma":0.0001076944,"domain_scores_codex":[0.9987343,0.00001171587,0.0003010487,0.0002254501,0.0002472191,0.0004802854],"domain_scores_gemma":[0.9993098,0.00004340483,0.00008646689,0.0004476656,0.00005625364,0.00005640816],"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":[0.0003769162,0.001616628,0.01321888,0.01212905,0.004751743,0.002074319,0.005391467,0.4347754,0.01793949,0.1367022,0.1526641,0.2183599],"study_design_scores_gemma":[0.00871669,0.001340308,0.02248129,0.01052995,0.002787193,0.0001940034,0.01794816,0.6726188,0.1574334,0.05884997,0.03223921,0.01486102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8411188,0.01019766,0.006504295,0.00002465735,0.002393547,0.0004314813,0.00002191771,0.001713264,0.1375944],"genre_scores_gemma":[0.9832764,0.002940363,0.002476151,0.000007538612,0.000174148,0.00003543665,0.0004021615,0.0001290016,0.01055875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2378435,"threshold_uncertainty_score":0.999926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066565863249057,"score_gpt":0.2861671441188511,"score_spread":0.2755014854863605,"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."}}