{"id":"W3094776125","doi":"10.48550/arxiv.2010.15554","title":"Investigation of the PPT Squared Conjecture for High Dimensions","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conjecture; Mathematics; Square (algebra); Statistics; Mathematical economics; Combinatorics; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002428466,0.0007703893,0.001010963,0.0009516022,0.001961147,0.00360311,0.001680249,0.002333977,0.007511008],"category_scores_gemma":[0.01375645,0.0005172443,0.0007833238,0.0008275164,0.006900188,0.008644235,0.005950186,0.005487762,0.0006784394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210104,"about_ca_system_score_gemma":0.0009177186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005063171,"about_ca_topic_score_gemma":0.0003722892,"domain_scores_codex":[0.997524,0.0008930002,0.00008612734,0.000442328,0.0007147835,0.0003398216],"domain_scores_gemma":[0.9900788,0.00602686,0.0007762309,0.001735124,0.0006721545,0.0007107438],"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":[0.00005299528,0.00002398157,0.0004091159,0.00004149742,0.000006294735,0.00008406662,0.000104653,0.003296701,0.0007916813,0.9920824,0.001282445,0.001824177],"study_design_scores_gemma":[0.00002638951,0.00002855376,0.0001383659,0.00001659311,0.00000425289,0.0000978035,0.00006839196,0.03848051,0.0007889328,0.9587972,0.001537988,0.00001505582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.546109,0.001362858,0.3074014,0.01473019,0.0008942648,0.000130046,0.0004926872,0.0006708467,0.1282088],"genre_scores_gemma":[0.9598467,0.0004423639,0.03140024,0.0009420694,0.0004735609,0.0001048218,0.0002420923,0.00007741735,0.006470659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007511008,"threshold_uncertainty_score":0.02512687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06480592813057474,"score_gpt":0.1785855805063808,"score_spread":0.113779652375806,"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."}}