{"id":"W2790498524","doi":"10.22323/1.204.0057","title":"The new KADoNiS v1.0 and its influence on the s-process","year":2015,"lang":"en","type":"article","venue":"Proceedings of XIII Nuclei in the Cosmos — PoS(NIC XIII)","topic":"Material Science and Thermodynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"Natural Sciences and Engineering Research Council of Canada; TRIUMF; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Process (computing); Computer science; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004985412,0.002533653,0.001506124,0.002847855,0.0008150075,0.004106503,0.004784459,0.001435663,0.03198245],"category_scores_gemma":[0.01114012,0.001630206,0.002055835,0.002477203,0.0005634511,0.005642026,0.00446461,0.002628082,0.02831379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432947,"about_ca_system_score_gemma":0.002617296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007874043,"about_ca_topic_score_gemma":0.003884604,"domain_scores_codex":[0.9975418,0.0004277803,0.0001995937,0.0003959789,0.001152759,0.0002821675],"domain_scores_gemma":[0.9955341,0.00102213,0.0003083986,0.001464055,0.001211706,0.000459574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004105596,0.0004610161,0.02250172,0.004975435,0.0009530109,0.0005796013,0.0006811505,0.04564182,0.01373152,0.03807222,0.6109654,0.2573316],"study_design_scores_gemma":[0.0003359757,0.0003982724,0.006829817,0.0008272848,0.0002597138,0.0005103741,0.0001013307,0.04228876,0.01506326,0.01758807,0.9154346,0.0003625095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.05292127,0.0107384,0.1598458,0.002398369,0.003577896,0.001022518,0.2529962,0.4098126,0.106687],"genre_scores_gemma":[0.1428169,0.004960376,0.1397728,0.001579099,0.0007187432,0.001236294,0.5329783,0.1467368,0.02920074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03198245,"threshold_uncertainty_score":0.1069919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146098290900181,"score_gpt":0.2267343743872598,"score_spread":0.2121245452972417,"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."}}