{"id":"W6929660476","doi":"10.48660/16060103","title":"How to Characterize the Quantum Correlations of a Generic Causal Structure","year":2016,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Quantum; Quantum system; Measure (data warehouse); Causality (physics); Causal structure; Quantum entanglement; Sequence (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007594199,0.0003281685,0.0003947626,0.0002643432,0.0000492531,0.00004561601,0.0004715471,0.0002710047,0.006082656],"category_scores_gemma":[0.0001192841,0.000186408,0.00009178666,0.0003470285,0.0001196543,0.00004204538,0.0001076166,0.0002068495,0.00421076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007445933,"about_ca_system_score_gemma":0.0001205583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001508402,"about_ca_topic_score_gemma":0.0005421006,"domain_scores_codex":[0.9987158,0.0001038261,0.0001848243,0.0003299041,0.0003625831,0.0003030386],"domain_scores_gemma":[0.9984245,0.00006208483,0.0004623258,0.0008689281,0.00008375363,0.0000983826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001635827,0.00001667141,0.0002310814,0.00002896344,0.0001392987,0.000003425682,0.0002446382,0.000001084362,0.04682664,0.001938367,0.9497859,0.0007676127],"study_design_scores_gemma":[0.0002018134,0.00002831346,0.005064176,0.0001352142,0.00009575656,0.000009344128,0.00001883633,0.00001853991,0.000127477,0.00009253855,0.9939426,0.0002653705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03114302,0.00358966,0.006594453,0.0156682,0.01312118,0.008843857,0.1138264,0.002548026,0.8046652],"genre_scores_gemma":[0.0766462,0.00002316219,0.0002916255,0.0001679081,0.001687099,0.00006005053,0.0002842471,0.001443825,0.9193959],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1147306,"threshold_uncertainty_score":0.9965646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337331466700264,"score_gpt":0.2513854606904595,"score_spread":0.2280121460234569,"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."}}