{"id":"W2951064298","doi":"10.48550/arxiv.1502.05095","title":"Experimental Detection of Entanglement Polytopes via Local Filters","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Polytope; Quantum entanglement; Mathematics; Type (biology); Spectral line; Combinatorics; Discrete mathematics; Topology (electrical circuits); Physics; Quantum mechanics; 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":[0.0009157773,0.0004113273,0.0003584091,0.0004639587,0.0006323152,0.000719888,0.00077735,0.0009065109,0.007623695],"category_scores_gemma":[0.002332941,0.000322729,0.0002036249,0.0004906887,0.001685458,0.001597259,0.001317469,0.001093159,0.0005759826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006281,"about_ca_system_score_gemma":0.0002687594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002669707,"about_ca_topic_score_gemma":0.0003569442,"domain_scores_codex":[0.9991731,0.0001829718,0.00004062087,0.0002249263,0.000206784,0.0001715494],"domain_scores_gemma":[0.9973856,0.001558041,0.0003809204,0.0003919891,0.0001541428,0.0001293266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009207976,0.0005013172,0.004260764,0.0002621101,0.0001000807,0.0002972667,0.0003238428,0.007815155,0.931519,0.03589873,0.001104078,0.01699687],"study_design_scores_gemma":[0.0001135061,0.0005248024,0.003202114,0.0000310151,0.00003626472,0.000182926,0.0001073346,0.04179398,0.9430004,0.00868648,0.002265923,0.00005512318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308544,0.0002415042,0.05795122,0.0003687952,0.00006298847,0.00007247219,0.0002219936,0.000435461,0.009791092],"genre_scores_gemma":[0.9877905,0.00007647967,0.01108759,0.00006111358,0.00001345313,0.00006612398,0.00006111609,0.00004059802,0.000803085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007623695,"threshold_uncertainty_score":0.02550381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380699194754124,"score_gpt":0.1907109405579837,"score_spread":0.1526410210825713,"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."}}