{"id":"W3148428554","doi":"10.1051/0004-6361/202140693","title":"The Tarantula Massive Binary Monitoring","year":2021,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre for Research in Astrophysics of Québec","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Fonds Wetenschappelijk Onderzoek; Belgian Federal Science Policy Office; Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; European Commission; European Space Agency","keywords":"Physics; Astrophysics; Stars; Wolf–Rayet star; Context (archaeology); Large Magellanic Cloud; Stellar classification; Binary number; O-type star; Orbital eccentricity; Main sequence; Light curve; Orbital inclination; Binary star; 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":[0.0002102619,0.0002371518,0.0002188153,0.0009826518,0.0005518973,0.0005079812,0.0002661265,0.0002269135,0.001865859],"category_scores_gemma":[0.0003108881,0.00008136711,0.0001234912,0.0005302244,0.00009690578,0.0002910985,0.000512099,0.0003010982,0.001075311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002980588,"about_ca_system_score_gemma":0.0002462117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00319745,"about_ca_topic_score_gemma":0.005811261,"domain_scores_codex":[0.9998751,0.00001229397,0.000008578911,0.00005276181,0.00003267705,0.00001867074],"domain_scores_gemma":[0.9998232,0.00001039828,0.00005196222,0.00002691053,0.00003866593,0.00004901233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006303397,0.0002975211,0.7117938,0.0002376167,0.0001115229,0.002079963,0.0004976593,0.002385618,0.0330555,0.002394375,0.02705096,0.2194652],"study_design_scores_gemma":[0.00004736207,0.0002140356,0.9021424,0.00009108338,0.0001123257,0.003213776,0.0002483281,0.01598745,0.009879826,0.001008029,0.06703012,0.00002534804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586452,0.001508923,0.004738275,0.0003096495,0.00008484138,0.0001905279,0.0124873,0.000973722,0.02106156],"genre_scores_gemma":[0.9694593,0.0003447822,0.007194731,0.0001052589,0.00007642826,0.00006652087,0.01766658,0.00006470665,0.005021656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00319745,"threshold_uncertainty_score":0.006357729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008546528735081911,"score_gpt":0.2103948315853789,"score_spread":0.201848302850297,"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."}}