{"id":"W4296576869","doi":"10.1051/0004-6361/201629621","title":"The Tarantula Massive Binary Monitoring","year":2016,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre for Research in Astrophysics of Québec","funders":"Leibniz-Gemeinschaft; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Fonds Québécois de la Recherche sur la Nature et les Technologies; Leibniz-Institut für Astrophysik Potsdam; Universität Potsdam; University of Toledo","keywords":"Physics; Wolf–Rayet star; Astrophysics; Orbital inclination; Primary (astronomy); Stars; Large Magellanic Cloud; Eccentricity (behavior); Binary number; Spectral line; Orbital elements; Mass ratio; Radial velocity; Astronomy","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":[0.0001090608,0.0002190474,0.0001920161,0.0008232524,0.0004910385,0.0005055093,0.0002378633,0.0002408398,0.001737748],"category_scores_gemma":[0.0002023483,0.00007904535,0.0001052696,0.0004774873,0.00008000588,0.0002180906,0.0004416762,0.0001952611,0.0005278679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856147,"about_ca_system_score_gemma":0.0001378893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002098446,"about_ca_topic_score_gemma":0.004224619,"domain_scores_codex":[0.999936,0.000004969678,0.000003312468,0.00002262575,0.00001898373,0.00001418459],"domain_scores_gemma":[0.999934,0.000004686106,0.00001969961,0.00001058715,0.00001069133,0.00002038195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000807004,0.0002382672,0.704138,0.0001174742,0.00009793174,0.004798617,0.0008376506,0.003060935,0.08753227,0.005191893,0.00617689,0.1870031],"study_design_scores_gemma":[0.0000503638,0.0003676584,0.9121657,0.00004811246,0.00008490276,0.006222601,0.0003056723,0.02897136,0.0195257,0.001527277,0.03070378,0.00002694762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880959,0.0002416628,0.001219058,0.00007706886,0.00001303736,0.00002096717,0.0008648178,0.0001415033,0.009326],"genre_scores_gemma":[0.9940087,0.00006321062,0.002011253,0.0000305037,0.00001463391,0.000006560712,0.001875859,0.0000130397,0.001976416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002098446,"threshold_uncertainty_score":0.00581336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008055855379564098,"score_gpt":0.2057097682519858,"score_spread":0.1976539128724217,"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."}}