{"id":"W3136527680","doi":"10.1093/mnras/stab596","title":"Characterizing the magnetic fields of nearby molecular clouds using submillimeter polarization observations","year":2021,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"University of Virginia; National Aeronautics and Space Administration; National Science Foundation","keywords":"Physics; Astrophysics; Polarization (electrochemistry); Molecular cloud; Magnetic field; Vela; Polarimetry; Sky; Star formation; Stars; Pulsar; Optics; Scattering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000228935,0.0001228908,0.0001421101,0.0008547886,0.0002612454,0.0005095835,0.0001711552,0.0001402762,0.0004481018],"category_scores_gemma":[0.0006928318,0.0001069925,0.0002067031,0.0009901427,0.0001599877,0.0003181033,0.000289931,0.0001789568,0.0001026141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002919028,"about_ca_system_score_gemma":0.000172438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007899817,"about_ca_topic_score_gemma":0.01187157,"domain_scores_codex":[0.9999257,0.00001153883,0.000003215709,0.00001973659,0.00001992465,0.00001982013],"domain_scores_gemma":[0.9995475,0.000119495,0.0001974871,0.00004748509,0.00004206636,0.00004591342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009809709,0.00003134181,0.9614177,0.00001683344,0.00007037517,0.00006640924,0.0001424716,0.01040984,0.0146284,0.0003841686,0.0001871592,0.01254721],"study_design_scores_gemma":[0.000007484111,0.0000222134,0.9743233,0.000006058009,0.00001777831,0.00003843981,0.0001630079,0.02339328,0.001523992,0.0002098562,0.000287447,0.000007163407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998678,0.00002522213,0.0006707776,0.00001688267,0.000001200744,0.000002941563,0.0002508572,0.00001081781,0.0003433106],"genre_scores_gemma":[0.9990118,0.00002993824,0.0005793672,0.000005409218,0.000004181355,0.000002364262,0.0003283251,0.000002776467,0.00003579354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007899817,"threshold_uncertainty_score":0.01570767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425593649142778,"score_gpt":0.2129736548415247,"score_spread":0.1987177183500969,"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."}}