{"id":"W54696906","doi":"10.1007/0-306-47015-2_14","title":"Modelling Molecules in Intense Laser Fields - Numerical Methods for an IBM-SP2 Parallel Computer Environment","year":2005,"lang":"en","type":"book-chapter","venue":"Kluwer Academic Publishers eBooks","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Supercomputer; Femtosecond; Physics; IBM; Computation; Laser; Electromagnetism; Computational science; Computer science; Quantum mechanics; Algorithm; Parallel computing; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004907488,0.0006330699,0.0004698983,0.0003870603,0.0004168093,0.0007150549,0.00129713,0.0008351472,0.004800358],"category_scores_gemma":[0.001061238,0.0003562507,0.0004192289,0.0008792748,0.0004894042,0.0007204607,0.0005406765,0.000779369,0.002009852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004946435,"about_ca_system_score_gemma":0.001054657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003715506,"about_ca_topic_score_gemma":0.003859484,"domain_scores_codex":[0.9998088,0.00005792273,0.000008566685,0.00001316696,0.0001007842,0.00001066449],"domain_scores_gemma":[0.9997734,0.0001257936,0.00001486051,0.00002545589,0.00004889114,0.00001156073],"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":[0.00002883165,0.00004786287,0.000361172,0.0002559042,0.0000291544,0.0001144063,0.0001345562,0.832477,0.004836333,0.0857088,0.008529474,0.06747651],"study_design_scores_gemma":[0.00001608869,0.000007438466,0.00008566624,0.00001671095,0.000004465065,0.00003031228,0.00001303617,0.9678816,0.0007745133,0.01700906,0.01415604,0.000005210829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00770112,0.001288092,0.9724576,0.000325089,0.0001239489,0.00009868543,0.0002204399,0.001180677,0.0166042],"genre_scores_gemma":[0.05590622,0.001995645,0.9259268,0.00006859909,0.00006160946,0.0006607182,0.0004214736,0.0004235457,0.01453535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004800358,"threshold_uncertainty_score":0.01605874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0406309742982938,"score_gpt":0.3150309073658558,"score_spread":0.2743999330675619,"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."}}