{"id":"W2111367854","doi":"10.1086/316858","title":"Wind Inhomogeneities in Wolf-Rayet Stars. IV. Using Clumps to Probe the Wind Structure in the WC8 Star HD 192103","year":2000,"lang":"en","type":"article","venue":"The Astronomical Journal","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Canada Council for the Arts","funders":"","keywords":"Physics; Astrophysics; Wolf–Rayet star; Stars; Emission spectrum; Spectral line; Flux (metallurgy); Line (geometry); Telescope; William Herschel Telescope; O-type star; Astronomy; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006444947,0.0002816296,0.0003324219,0.00007091545,0.0004488159,0.0001849871,0.0006948838,0.00004745864,0.001000064],"category_scores_gemma":[0.000009281654,0.000144477,0.0001209912,0.0001840425,0.0001759123,0.0001412613,0.00008783472,0.0009587351,0.00003151556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008383453,"about_ca_system_score_gemma":0.0001199275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005409584,"about_ca_topic_score_gemma":0.0001710929,"domain_scores_codex":[0.9980412,0.0003699457,0.0004858511,0.00022678,0.0002856665,0.0005905614],"domain_scores_gemma":[0.9991211,0.0002901603,0.0001356345,0.0003373275,0.00002543572,0.00009037379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002418073,0.00008018681,0.941322,0.000002781555,0.0001535468,0.000004641183,0.007494874,0.03781209,0.00007762406,0.0001390413,0.0007502362,0.01192113],"study_design_scores_gemma":[0.0008373078,0.00009173168,0.9860753,0.00004181714,0.00006749737,0.00003727178,0.005432615,0.0005313465,0.00006083654,0.001682999,0.004915292,0.0002259774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960701,0.000230058,0.0000641073,0.001790086,0.0001846099,0.0003705223,0.00003154947,0.000004634885,0.00125427],"genre_scores_gemma":[0.9976696,0.00001021181,0.0005170566,0.0003284445,0.001361799,0.000003107441,0.000008824168,0.00001985332,0.00008115053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04475327,"threshold_uncertainty_score":0.9999132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440111610082854,"score_gpt":0.2325770536683869,"score_spread":0.2181759375675583,"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."}}