{"id":"W6921911429","doi":"10.1051/0004-6361/201526997/pdf","title":"The roAp star","year":2016,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Space Agency; Österreichische Forschungsförderungsgesellschaft; Ministerstwo Edukacji i Nauki; Universität Wien; National Aeronautics and Space Administration; Austrian Science Fund; Natural Sciences and Engineering Research Council of Canada; Fundacja na rzecz Nauki Polskiej","keywords":"Staring; Gloom; Noise (video); Radar tracker; Phase (matter)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003129125,0.0004646223,0.0002674594,0.001206541,0.0005873459,0.001033488,0.0003964342,0.0003261076,0.005316268],"category_scores_gemma":[0.0004962279,0.0001516171,0.000308979,0.001174098,0.0003353588,0.0007919646,0.001112665,0.0005256114,0.004443954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002935538,"about_ca_system_score_gemma":0.0002437736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067479,"about_ca_topic_score_gemma":0.001133046,"domain_scores_codex":[0.9996334,0.00001812772,0.00001067065,0.0001715798,0.0001179279,0.00004809714],"domain_scores_gemma":[0.999781,0.00001790849,0.00005606807,0.00006028296,0.00004577434,0.00003912943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001013523,0.0001525425,0.3541866,0.001305852,0.0005684216,0.002328522,0.001456653,0.00501933,0.09527802,0.01462091,0.04151713,0.4825524],"study_design_scores_gemma":[0.00003483261,0.0004166169,0.4727791,0.0001289947,0.0001504504,0.005576208,0.0004588651,0.00458675,0.01462399,0.003916155,0.4972489,0.00007921014],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8150697,0.004635414,0.01544772,0.000454185,0.0004122226,0.0001911416,0.01330466,0.001681991,0.1488029],"genre_scores_gemma":[0.9232543,0.001429197,0.02558582,0.0004998329,0.0001929843,0.00009745668,0.02624472,0.000511687,0.02218401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005316268,"threshold_uncertainty_score":0.01778466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839459827666113,"score_gpt":0.207076951677381,"score_spread":0.1886823534007199,"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."}}