{"id":"W4396692992","doi":"10.1021/acs.jpca.4c00999","title":"The Role of Momentum Partitioning in Covariance Ion Imaging Analysis","year":2024,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry A","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"SLAC National Accelerator Laboratory; H2020 European Research Council; Basic Energy Sciences; Jesus College, University of Oxford; Jesus College, University of Cambridge; Office of Science; Japan Society for the Promotion of Science; Academy of Finland; Helmholtz-Gemeinschaft; U.S. Department of Energy; Leverhulme Trust; University of Southampton; Engineering and Physical Sciences Research Council; UK Research and Innovation; National Science Foundation","keywords":"Fragmentation (computing); Dissociation (chemistry); Ion; Ionization; Extreme ultraviolet; Femtosecond; Covariance; Breakup; Physics; Chemical physics; Chemistry; Atomic physics; Laser; Optics; Quantum mechanics; Physical chemistry; Ecology; Statistics; Biology; Mathematics","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":[0.0002111079,0.00005570592,0.0001282151,0.00003038279,0.00003970147,0.00003864341,0.0001196528,0.000009826342,0.00002448226],"category_scores_gemma":[0.00001520278,0.00003253172,0.0001730832,0.0004933119,0.0000277911,0.00009669757,0.00001155198,0.0002295708,0.00000230398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004692099,"about_ca_system_score_gemma":0.00001030773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001017476,"about_ca_topic_score_gemma":0.000001752635,"domain_scores_codex":[0.9995265,0.00001638099,0.0002091061,0.00003589426,0.0001267477,0.00008537023],"domain_scores_gemma":[0.9996233,0.0001709982,0.00005587904,0.00009165754,0.00003933932,0.00001880075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000548884,0.00001524492,0.00006680108,0.0000167944,0.0002938107,0.000002630163,0.0002480316,0.5312667,0.4670323,0.00005410211,0.00004185275,0.0009562498],"study_design_scores_gemma":[0.0000313316,0.000003067602,0.00009660752,0.00007019351,0.0002548184,0.000005772457,0.0004774495,0.7484196,0.2490079,0.0008694082,0.0007297942,0.00003400665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919789,0.001822104,0.004335758,0.0003028112,0.00003890107,0.00001416782,0.000003264583,0.00001376407,0.001490311],"genre_scores_gemma":[0.9997039,0.00008590861,0.00001096439,0.000001753845,0.0001438987,8.789955e-7,6.864115e-7,0.00000527306,0.00004668868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2180244,"threshold_uncertainty_score":0.1326605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002192299621117528,"score_gpt":0.2148494180253533,"score_spread":0.2126571184042358,"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."}}