{"id":"W4388456710","doi":"10.1103/physrevlett.131.193001","title":"Ultrafast Molecular Frame Quantum Tomography","year":2023,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Max Planck - University of Ottawa Centre for Extreme and Quantum Photonics; University of Ottawa; National Research Council Canada","funders":"Basic Energy Sciences; National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Office of Science; University of Ottawa; U.S. Department of Energy","keywords":"Physics; Electronic structure; Quantum entanglement; Quantum; Molecular dynamics; Density matrix; Electronic density; Degrees of freedom (physics and chemistry); Quantum dynamics; Frame (networking); Statistical physics; Quantum mechanics; Computer science; Density functional theory","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003118469,0.0002430857,0.0002325491,0.0001912523,0.0002991009,0.0005279807,0.0008108183,0.0006710348,0.002460565],"category_scores_gemma":[0.00100402,0.0001299941,0.0001576956,0.000224442,0.0009198521,0.00128348,0.0007717259,0.0009899494,0.0003120385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004555666,"about_ca_system_score_gemma":0.0003986054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007482975,"about_ca_topic_score_gemma":0.000607925,"domain_scores_codex":[0.9998382,0.00003960518,0.000003432749,0.00002949254,0.00006432431,0.00002488077],"domain_scores_gemma":[0.9997284,0.00009762985,0.00004549941,0.00007918885,0.00002761031,0.00002163588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001154964,0.00008700316,0.0009433311,0.0001036121,0.00002145562,0.0003165384,0.0002558655,0.04522644,0.2464594,0.6544499,0.002352602,0.04966833],"study_design_scores_gemma":[0.00002278952,0.0001474598,0.0006600505,0.00001985881,0.000006298534,0.0003060281,0.00005736185,0.82288,0.08551478,0.07816917,0.01218065,0.00003546427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08471097,0.0004009378,0.8990728,0.00066115,0.00009218024,0.00006653896,0.0002685809,0.0004139715,0.01431292],"genre_scores_gemma":[0.7305557,0.0003242863,0.2654692,0.0001790116,0.00004209049,0.0001200128,0.0001613086,0.00005541123,0.003093103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002460565,"threshold_uncertainty_score":0.008231401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086123561971301,"score_gpt":0.2926847553700262,"score_spread":0.2818235197503132,"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."}}