{"id":"W2900457838","doi":"10.1016/j.cpc.2018.10.032","title":"GRASP2018—A Fortran 95 version of the General Relativistic Atomic Structure Package","year":2018,"lang":"en","type":"article","venue":"Computer Physics Communications","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":405,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet; Kumoh National Institute of Technology; U.S. Department of Energy; Wenner-Gren Stiftelserna; Wenner-Gren Foundation","keywords":"Fortran; Relativistic quantum chemistry; Computer science; Computational science; Programming language; Parallel computing; Physics; Algebra over a field; Mathematics; Nuclear physics; Pure mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00003876717,0.0001478961,0.0001672668,0.00001238137,0.0003884275,0.00002322068,0.0009819415,0.00003183543,0.0000270725],"category_scores_gemma":[0.000001195036,0.0001196352,0.0001667446,0.0002231566,0.00041696,0.00009441244,0.0006692556,0.0002290395,0.00002948152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002161031,"about_ca_system_score_gemma":0.00007903761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004254398,"about_ca_topic_score_gemma":0.000003237818,"domain_scores_codex":[0.9992387,0.0001086234,0.0002017798,0.0001635495,0.0001254645,0.0001619015],"domain_scores_gemma":[0.9976653,0.00005992142,0.0001865871,0.001912702,0.0001329497,0.00004249773],"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":[0.000006785587,0.0002158395,0.01056225,0.00001010186,0.0001962702,7.198575e-8,0.001083843,0.0001857559,0.006830371,0.9524742,0.005996607,0.02243789],"study_design_scores_gemma":[0.001153926,0.00009085318,0.02072047,0.0001059086,0.0002186402,0.000001376629,0.0000874397,0.380383,0.01491526,0.5699138,0.0118675,0.0005418428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2876146,0.0000455174,0.7047097,0.0002267707,0.0003230142,0.0003032865,0.0001630358,0.00003567599,0.006578367],"genre_scores_gemma":[0.9811014,0.000002972516,0.01806535,0.00008141622,0.0004762032,0.000005581018,0.0001417774,0.00002236781,0.0001029196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6934868,"threshold_uncertainty_score":0.4878583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264895711842257,"score_gpt":0.2543006986638298,"score_spread":0.2416517415454072,"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."}}