{"id":"W1494718101","doi":"10.1007/3-540-50438-9_254","title":"Computation of the emission spectrum of shock-heated molecular hydrogen at interstellar densities","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in physics","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computation; Shock (circulatory); Spectrum (functional analysis); Physics; Astrophysics; Hydrogen; Hydrogen molecule; Interstellar medium; Molecular cloud; Computational physics; Astronomy; Astrobiology; Computer science; Quantum mechanics; Galaxy; Medicine","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":[0.0002517349,0.0005540263,0.0004705534,0.0004339697,0.000645273,0.0007549964,0.0009573605,0.0008935397,0.004404951],"category_scores_gemma":[0.001423203,0.0005163973,0.0004880981,0.0004163927,0.00071161,0.0005962902,0.0005561421,0.000656784,0.0003595025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088382,"about_ca_system_score_gemma":0.0005631861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006736804,"about_ca_topic_score_gemma":0.005550225,"domain_scores_codex":[0.9999474,0.00001273841,0.000001876917,0.000008951573,0.00001576423,0.00001325877],"domain_scores_gemma":[0.9993992,0.000403267,0.00003694135,0.00002978013,0.00005978843,0.00007104448],"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":[0.0004250507,0.0001061817,0.004838628,0.00009941128,0.00005991451,0.0003598382,0.0001255499,0.9608287,0.01142267,0.01288367,0.001282329,0.00756806],"study_design_scores_gemma":[0.00004019195,0.00001147834,0.001236302,0.000003545512,0.00000451734,0.00001950009,0.00001818723,0.9954267,0.00111881,0.002014052,0.0001020718,0.000004594354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9053336,0.0003346646,0.06354032,0.0006215943,0.00007384818,0.00005870618,0.0005870526,0.001550698,0.02789962],"genre_scores_gemma":[0.9867188,0.00006154145,0.01075901,0.00005907393,0.00002377475,0.0000331738,0.000228278,0.0001947076,0.001921481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006736804,"threshold_uncertainty_score":0.01473606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007143445611670983,"score_gpt":0.2069219257579029,"score_spread":0.1997784801462319,"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."}}