{"id":"W2071277014","doi":"10.1103/physrevlett.98.043601","title":"Multiparticle State Tomography: Hidden Differences","year":2007,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Quantum decoherence; Physics; Polarization (electrochemistry); Density matrix; Limiting; Photon; Quantum optics; Degrees of freedom (physics and chemistry); Interference (communication); Quantum mechanics; Statistical physics; Quantum interference; Quantum information; Quantum; Quantum state; Computer science; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0003021608,0.0001323913,0.000213559,0.00007430939,0.00007226975,0.00007627382,0.0005586607,0.0000047394,0.00001228813],"category_scores_gemma":[0.00001845425,0.0001002911,0.0001982106,0.0007155116,0.00006876483,0.0005363444,0.00008006912,0.0001116079,0.0002221819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009360115,"about_ca_system_score_gemma":0.000006981909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001066182,"about_ca_topic_score_gemma":0.000002222202,"domain_scores_codex":[0.9988171,0.00004175404,0.0002691034,0.0001988464,0.0003367483,0.0003364891],"domain_scores_gemma":[0.9992398,0.0001100477,0.00009939196,0.0003640727,0.00003498488,0.0001516792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000219087,0.000911786,0.02610654,0.001528669,0.0001739343,0.00005995949,0.003796418,0.00002087425,0.02247212,0.1535661,0.02415104,0.7671907],"study_design_scores_gemma":[0.002420546,0.000539855,0.7601721,0.003015121,0.0001511903,0.00003625228,0.0001097097,0.08365937,0.01852391,0.02861229,0.09956351,0.003196118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.830789,0.001541566,0.1611791,0.005375702,0.0001195989,0.0002405292,0.00000133208,0.0002201489,0.0005329989],"genre_scores_gemma":[0.9679487,0.0005100401,0.002856025,0.02861956,0.00004408188,0.0000134527,0.000001174775,0.000004475746,0.000002434415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7639946,"threshold_uncertainty_score":0.4089752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731009708904265,"score_gpt":0.2791622510791624,"score_spread":0.2618521539901198,"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."}}