{"id":"W3193860431","doi":"10.1364/cleo_qels.2021.fw3n.1","title":"Machine Learning Derived Entanglement Witnesses","year":2021,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bipartite graph; Quantum entanglement; Qutrit; Support vector machine; Qubit; Computer science; Theoretical computer science; Artificial intelligence; Quantum mechanics; Physics; Quantum","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":[0.002233787,0.000467428,0.0005332253,0.0007936705,0.0008288769,0.001824738,0.0008508113,0.001584378,0.00655142],"category_scores_gemma":[0.01332201,0.0003079197,0.0004272975,0.0006286759,0.002150845,0.003536743,0.00331057,0.00271185,0.0005689301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005272877,"about_ca_system_score_gemma":0.0004406863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001877303,"about_ca_topic_score_gemma":0.0002073233,"domain_scores_codex":[0.9983719,0.0005629013,0.00008118818,0.0002321736,0.0005548919,0.0001970593],"domain_scores_gemma":[0.9946253,0.00355825,0.0005106367,0.0006828175,0.0004451169,0.00017784],"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":[0.0001299538,0.00006625086,0.0008122433,0.0001016318,0.00002776753,0.0002082694,0.000198646,0.02600519,0.007161934,0.936244,0.0020383,0.02700576],"study_design_scores_gemma":[0.00003365492,0.00007253729,0.0003114686,0.00004118237,0.000008203032,0.0001275748,0.00006563806,0.3984743,0.00825341,0.5901703,0.002412427,0.00002932491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1497566,0.0002946959,0.8192072,0.00197853,0.0003116141,0.0001236441,0.0005150781,0.000567047,0.02724569],"genre_scores_gemma":[0.9404535,0.0001505406,0.05444332,0.0002579819,0.0001211692,0.0001064333,0.0002501481,0.00009827848,0.004118636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00655142,"threshold_uncertainty_score":0.02191669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164913892677527,"score_gpt":0.2311528026087059,"score_spread":0.2146614133409532,"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."}}