{"id":"W3043097917","doi":"10.1093/mnras/staa2214","title":"An extensive spectroscopic time series of three Wolf–Rayet stars – II. A search for wind asymmetries in the dust-forming WC7 binary WR137","year":2020,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Instituto de Astrofísica de Canarias; Akademie Věd České Republiky; Grantová Agentura České Republiky","keywords":"Physics; Astrophysics; Stars; Wolf–Rayet star; Be star; Equivalent width; Orbital inclination; Amplitude; Stellar rotation; Emission spectrum; Polarization (electrochemistry); O-type star; Orbital plane; Spectral line; Astronomy; Binary number; Optics","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":[0.0002254462,0.0001575817,0.0002903294,0.0008618298,0.0004317778,0.0003299548,0.0001522297,0.0002199513,0.0006298918],"category_scores_gemma":[0.0003875964,0.00007672959,0.00013698,0.0003909058,0.0001384669,0.0002188009,0.0004053627,0.0001958066,0.0003728104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000232601,"about_ca_system_score_gemma":0.0001044735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003465066,"about_ca_topic_score_gemma":0.006138755,"domain_scores_codex":[0.9998487,0.00001362701,0.00001173427,0.00004916363,0.0000445976,0.00003220931],"domain_scores_gemma":[0.9995097,0.00004209728,0.0001453981,0.00004410377,0.00009293424,0.0001658068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002651743,0.0001684485,0.9640337,0.00001716599,0.00004715629,0.0004990103,0.0004490947,0.0001201483,0.024408,0.00003908682,0.0002475499,0.009705425],"study_design_scores_gemma":[0.000001810864,0.00006673177,0.9989275,8.44347e-7,0.000004552137,0.0001167713,0.00008156662,0.00006553068,0.0004788832,0.00000547063,0.0002487607,0.000001552349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994422,0.00002652109,0.00005961871,0.000005245583,0.00000133078,0.000005728209,0.0002021475,0.00000462158,0.0002527374],"genre_scores_gemma":[0.9987197,0.00001451338,0.0001043424,0.000007294113,0.00000565887,0.000005325851,0.0008790945,0.000002407496,0.0002617203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003465066,"threshold_uncertainty_score":0.00688976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446083459806152,"score_gpt":0.2338255588117423,"score_spread":0.2193647242136808,"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."}}