{"id":"W2584414338","doi":"","title":"Investigating the potential magnetic origin of wind variability in OB stars","year":2016,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Stars; Physics; Astronomy; Astrobiology; Astrophysics; Meteorology; Atmospheric sciences; Environmental science; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001023895,0.0001486889,0.000205313,0.00007245207,0.0001144084,0.00001711065,0.0002658461,0.0000425701,0.0008346807],"category_scores_gemma":[0.00002043213,0.0001044979,0.00007538754,0.0002473728,0.0003128665,0.0003943245,0.000169054,0.0001359235,0.00001711831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002214226,"about_ca_system_score_gemma":0.0001084277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004534545,"about_ca_topic_score_gemma":0.00001196425,"domain_scores_codex":[0.9989955,0.0002331892,0.0001368126,0.000245583,0.0001463031,0.0002425651],"domain_scores_gemma":[0.9990869,0.0004346918,0.0001074694,0.0002762695,0.00002229113,0.00007235014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002425052,0.00004186415,0.9870082,0.00001180832,0.00004020986,0.000005594095,0.000334248,0.00003299581,0.00001786825,0.004161807,0.007059327,0.001261887],"study_design_scores_gemma":[0.0007950293,0.00006659534,0.9808284,0.0000546357,0.00005794405,1.010774e-7,0.0009580085,0.00001678186,0.0006053597,0.003693732,0.01272164,0.0002017611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938835,0.00001321993,0.0005328999,0.02012301,0.0001613044,0.0002385445,0.0000454771,0.00003718414,0.04001333],"genre_scores_gemma":[0.9908836,0.0000185831,0.0006130801,0.00003442197,0.00008751055,2.556474e-7,0.000009633605,0.000009361161,0.008343591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05204853,"threshold_uncertainty_score":0.9139169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006314508945436668,"score_gpt":0.1732662972481363,"score_spread":0.1669517883026996,"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."}}