{"id":"W2472679436","doi":"10.1063/1.4954721","title":"Assessing the utility of phase-space-localized basis functions: Exploiting direct product structure and a new basis function selection procedure","year":2016,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Basis (linear algebra); Basis function; Selection (genetic algorithm); Product (mathematics); Function (biology); Space (punctuation); Computer science; Phase (matter); Mathematics; Artificial intelligence; Mathematical analysis; Physics; Geometry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003229042,0.0001442131,0.0002690504,0.00002619673,0.0001311678,0.0000479818,0.0001293107,0.00002656503,0.0001196775],"category_scores_gemma":[0.00006505576,0.00006803407,0.0001456597,0.0003263757,0.000100915,0.0002670354,0.00002771292,0.0002366321,4.952644e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001971091,"about_ca_system_score_gemma":0.00009781616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003476125,"about_ca_topic_score_gemma":4.272853e-7,"domain_scores_codex":[0.9990171,0.000115642,0.0003256556,0.0001357236,0.0002403206,0.0001655755],"domain_scores_gemma":[0.9988664,0.0002520414,0.0004746918,0.0001609345,0.0001856569,0.00006026065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001082746,0.00008371091,0.002770773,0.0000170151,0.0002335231,4.584933e-8,0.0001828135,0.00001464341,0.8443448,0.00002979331,0.00125607,0.1509585],"study_design_scores_gemma":[0.001114926,0.000145567,0.0009494988,0.0001680932,0.0008591605,0.00001199102,0.0004332215,0.001100235,0.9846607,0.01023699,0.0001831959,0.0001364269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708806,0.0001601215,0.02741188,0.00124154,0.00004988805,0.00007383728,0.000005556838,0.000009972847,0.0001665547],"genre_scores_gemma":[0.9986162,0.000008990974,0.0002362525,0.00002214114,0.00102613,0.000001533906,0.000001876257,0.00001307099,0.00007379485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1508221,"threshold_uncertainty_score":0.2774349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913829488551421,"score_gpt":0.2697623868376542,"score_spread":0.25062409195214,"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."}}