{"id":"W1972882535","doi":"10.1063/1.1329642","title":"Multiarrangement photodissociation calculations utilizing negative imaginary potentials","year":2001,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Office of Naval Research","keywords":"Photodissociation; Propagator; Operator (biology); Position (finance); Matrix (chemical analysis); Representation (politics); Physics; Atomic physics; Chemistry; Quantum mechanics; Photochemistry","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":[0.0005033466,0.0006866411,0.0006581487,0.0007229156,0.0008223405,0.0006227452,0.001842881,0.0006954568,0.002790324],"category_scores_gemma":[0.0007056786,0.0004117042,0.0004774013,0.0005716695,0.0004078438,0.001215286,0.0008263391,0.0009269724,0.0005019359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008850637,"about_ca_system_score_gemma":0.001107797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583344,"about_ca_topic_score_gemma":0.002818725,"domain_scores_codex":[0.9997957,0.00003494157,0.000007191165,0.00001778383,0.0001121706,0.00003226602],"domain_scores_gemma":[0.9995927,0.000180161,0.0000351206,0.00007544024,0.00008499563,0.00003153713],"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":[0.0001530874,0.0001579826,0.0007467723,0.0003278914,0.00005813251,0.0005102741,0.0001915617,0.654053,0.05954484,0.226396,0.001775473,0.056085],"study_design_scores_gemma":[0.00001991108,0.00002364812,0.0001576311,0.000006693264,0.000007320986,0.00006034966,0.0000159773,0.9756664,0.008591679,0.014159,0.001273641,0.00001771822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1853784,0.0005092437,0.7931588,0.00021628,0.00008202584,0.00009408776,0.0001334173,0.0007738802,0.0196539],"genre_scores_gemma":[0.7703273,0.0004454985,0.2216536,0.00006992483,0.00002038755,0.0002773959,0.0001352722,0.0003360615,0.00673463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002790324,"threshold_uncertainty_score":0.009334564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796127799716851,"score_gpt":0.2919041726150875,"score_spread":0.273942894617919,"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."}}