{"id":"W2620068746","doi":"10.1088/1367-2630/aaad92","title":"Experimental generalized quantum suppression law in Sylvester interferometers","year":2018,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"H2020 European Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Horizon 2020 Framework Programme; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Physics; Astronomical interferometer; Quantum mechanics; Interference (communication); Quantum; Theoretical physics; Interferometry; Telecommunications; Computer science","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":[0.001325394,0.0005046762,0.0004568319,0.0004875568,0.0004805486,0.0005893363,0.001176244,0.000749214,0.001902581],"category_scores_gemma":[0.002283166,0.0002947744,0.000247054,0.0005174478,0.002143134,0.001137888,0.0009300932,0.001006679,0.0002512543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006483386,"about_ca_system_score_gemma":0.0003537359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001982836,"about_ca_topic_score_gemma":0.000230068,"domain_scores_codex":[0.9985569,0.0004384713,0.00007717234,0.0002696754,0.0005245107,0.0001333496],"domain_scores_gemma":[0.9983942,0.0007048846,0.0002983486,0.0003903112,0.0001284394,0.00008374423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005948934,0.0002703706,0.003585192,0.0001765185,0.00005121657,0.0002867204,0.0004540595,0.008194178,0.8328134,0.1377275,0.0005716232,0.01527426],"study_design_scores_gemma":[0.00009841133,0.0003176311,0.001800383,0.00001831966,0.00001936278,0.0002072949,0.00004129632,0.09799736,0.8701119,0.02701148,0.002331422,0.00004506983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8384991,0.0002768753,0.1517923,0.0003121657,0.00006265183,0.0002125654,0.0002286888,0.0005872888,0.008028381],"genre_scores_gemma":[0.9638987,0.00009328145,0.03516829,0.00006642726,0.00001502289,0.0001230186,0.00006000012,0.00003486484,0.0005403782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001902581,"threshold_uncertainty_score":0.007009447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03193871248798164,"score_gpt":0.2883558667725504,"score_spread":0.2564171542845688,"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."}}