{"id":"W6948353456","doi":"10.48660/16120021","title":"Capturing Topological and Symmetry Protected Physics with Entanglement and Tensor Networks","year":2016,"lang":"en","type":"other","venue":"PIRSA","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Quantum entanglement; Symmetry (geometry); Tensor (intrinsic definition); Topology (electrical circuits); Tensor product","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":[0.0005289433,0.0007561791,0.0005398011,0.0006619769,0.0007731742,0.002137768,0.0008139198,0.0008818182,0.008355138],"category_scores_gemma":[0.001496245,0.0002465899,0.0005307806,0.0005118457,0.002073744,0.00480397,0.002474361,0.001840952,0.0009504932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000681638,"about_ca_system_score_gemma":0.0005713372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016256,"about_ca_topic_score_gemma":0.001746341,"domain_scores_codex":[0.9997378,0.00008699972,0.000006584345,0.00005094204,0.00007858331,0.00003910073],"domain_scores_gemma":[0.9995294,0.0001177634,0.00005245048,0.0001875446,0.00004597704,0.00006689257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002390083,0.00002303225,0.0000951843,0.00002729555,0.000006730843,0.00002013328,0.00004070712,0.007179836,0.001143395,0.9818828,0.001851394,0.007705592],"study_design_scores_gemma":[0.000005143124,0.000006028804,0.00007020569,0.00001096828,0.000003066631,0.00002283664,0.00002325718,0.06851541,0.0006073595,0.9257004,0.005026946,0.000008307714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.133829,0.00206251,0.6073613,0.004198727,0.0008741918,0.00007233367,0.0005316774,0.001192516,0.2498778],"genre_scores_gemma":[0.8578751,0.00165174,0.0839752,0.0005162691,0.0005650662,0.00007060483,0.0004804989,0.0005143508,0.0543513],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008355138,"threshold_uncertainty_score":0.0279507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343763308470892,"score_gpt":0.245411415802374,"score_spread":0.2319737827176651,"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."}}