{"id":"W6950551869","doi":"10.5683/sp3/eg9931","title":"Supplementary Data for Hyperbolic Matter in Electrical Circuits with Tunable Complex Phases","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Electronic circuit; Electrical network; Set (abstract data type); Electrical equipment; Network analysis; Integrated circuit","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008327966,0.002236061,0.001691172,0.002613877,0.001268921,0.003070288,0.003347594,0.002847677,0.2592818],"category_scores_gemma":[0.005975108,0.0008172787,0.001466035,0.004601382,0.0006053405,0.002069826,0.002538017,0.002020859,0.2524132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895891,"about_ca_system_score_gemma":0.002258356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0138392,"about_ca_topic_score_gemma":0.03302993,"domain_scores_codex":[0.999241,0.0001078967,0.00006661294,0.0002309872,0.0002275167,0.0001260582],"domain_scores_gemma":[0.9971666,0.0009582803,0.0002988763,0.0007424285,0.000623336,0.0002104547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004528354,0.000013475,0.0005112626,0.0008167776,0.00001823023,0.00002169978,0.00002039336,0.0002870849,0.0001614335,0.001468288,0.9948877,0.001748351],"study_design_scores_gemma":[0.0001781184,0.00001388404,0.002892724,0.0002940498,0.00003082034,0.00007317439,0.00006069403,0.0005029191,0.000579097,0.005848357,0.989489,0.00003699171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001108052,0.0001327943,0.0001413611,0.00006520211,0.00003545261,0.000006796601,0.9970422,0.0005129106,0.001952502],"genre_scores_gemma":[0.001243184,0.0001305856,0.0006232361,0.000129984,0.00002436692,0.00009557703,0.995393,0.0003092599,0.002050721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2592818,"threshold_uncertainty_score":0.8673842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07366289714726502,"score_gpt":0.3244816044036611,"score_spread":0.2508187072563961,"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."}}