{"id":"W2743809863","doi":"10.1126/sciadv.1700982","title":"Laboratory unraveling of matter accretion in young stars","year":2017,"lang":"en","type":"article","venue":"Science Advances","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Lawrence Livermore National Laboratory; High Magnetic Field Laboratory, Chinese Academy of Sciences; National Research Nuclear University MEPhI; Engineering and Physical Sciences Research Council; Helmholtz-Zentrum Dresden-Rossendorf; Institut sur la Nutrition et les Aliments Fonctionnels; Istituto Nazionale di Astrofisica; Centre National de la Recherche Scientifique; Ministry of Education and Science of the Russian Federation; Russian Academy of Sciences; Russian Foundation for Basic Research; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; U.S. Department of Energy","keywords":"Stars; Accretion (finance); Physics; Astrophysics; Astronomy; Star (game theory); Accretion disc","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":[0.0001606761,0.00004740417,0.00008100627,0.00004522825,0.0003156728,0.00005723933,0.0002240185,0.000004327405,0.0000343379],"category_scores_gemma":[0.000005775763,0.00004037009,0.00001580918,0.0001053291,0.0003378532,0.001212158,0.00006672705,0.00003848925,0.00001613944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009390762,"about_ca_system_score_gemma":0.00004085734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007705478,"about_ca_topic_score_gemma":0.00001090488,"domain_scores_codex":[0.9994936,0.000004369332,0.0001160521,0.0001061824,0.0001529947,0.00012681],"domain_scores_gemma":[0.9995631,0.000006087533,0.0001530857,0.0001686665,0.00009132223,0.0000177663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004435386,0.00002000475,0.970713,0.000006849356,0.000002912922,1.16036e-7,0.000785903,0.0003336175,0.01081302,0.006308968,0.00001579774,0.01099533],"study_design_scores_gemma":[0.0003170782,0.00002508312,0.9495897,0.0000594241,0.000003715895,4.896954e-8,0.004592078,0.0004640364,0.03433812,0.009733722,0.0007112978,0.0001657121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984903,0.0000309063,0.002591325,0.00005826138,0.0001485004,0.00003994104,0.00001631445,0.000002362148,0.01220936],"genre_scores_gemma":[0.9990379,0.000002521421,0.0008728064,0.000005704042,0.00003150775,0.000003759558,9.427506e-7,0.000001797302,0.0000430127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0235251,"threshold_uncertainty_score":0.2427932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008696519394371025,"score_gpt":0.2833530936863212,"score_spread":0.2746565742919502,"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."}}