{"id":"W4392306694","doi":"10.1007/978-3-031-47938-0_8","title":"Imaging Ultrafast Dissociation Dynamics: OCS & Roaming in Formaldehyde","year":2024,"lang":"en","type":"book-chapter","venue":"Springer proceedings in physics","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; National Research Council Canada; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; H2020 European Research Council; University of Waterloo","keywords":"Roaming; Dissociation (chemistry); Ultrashort pulse; Chemistry; Formaldehyde; Biophysics; Computer science; Physical chemistry; Physics; Biochemistry; Biology; Optics; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001747613,0.0004714336,0.0004395525,0.0002607871,0.00006767632,0.0001769588,0.0003862864,0.0003183345,0.0002880909],"category_scores_gemma":[0.00001813878,0.0005597339,0.0001793385,0.0002027461,0.00005878603,0.0002643958,0.0002220825,0.001349021,0.00006382393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379983,"about_ca_system_score_gemma":0.00003901141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004640791,"about_ca_topic_score_gemma":0.00007456187,"domain_scores_codex":[0.9979335,6.554327e-7,0.0005719275,0.0006866724,0.0003475364,0.0004597295],"domain_scores_gemma":[0.9993335,0.00003079674,0.0002441616,0.0002463961,0.00008330464,0.00006186755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005572354,0.00005504118,0.004147185,0.0009495861,0.00003232601,0.000005383633,0.0004077339,0.000005695415,0.004921054,0.9766288,0.000167776,0.01267388],"study_design_scores_gemma":[0.0003450949,0.00001004601,0.0001754292,0.003332858,0.0001161348,0.00001273716,0.0002313116,0.006416649,0.01027235,0.8736615,0.103887,0.001538941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005332055,0.0001735065,0.000236421,0.0002056796,0.00006988879,0.0002415409,0.00007379504,0.0004262048,0.9932409],"genre_scores_gemma":[0.7635077,0.0005234267,0.002678062,0.00005657101,0.001366799,0.000295586,0.0003780531,0.000386876,0.230807],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7624339,"threshold_uncertainty_score":0.9996854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009917360577554409,"score_gpt":0.2430830078048972,"score_spread":0.2331656472273428,"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."}}