{"id":"W3217169991","doi":"10.48550/arxiv.2111.11174","title":"Highly sensitive search for magnetic fields in white dwarfs using broad-band circular polarimetry","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"White dwarf; Physics; Astrophysics; Stars; Stellar classification; Circular polarization; Polarimetry; Magnetic field; Astronomy; Optics","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":[0.0004723688,0.0003410711,0.000366374,0.001854151,0.0003780814,0.0006445349,0.0002201601,0.0003549481,0.0007574438],"category_scores_gemma":[0.0005593939,0.0001965901,0.000214738,0.0009207517,0.0002397248,0.000340522,0.0005255934,0.0002884263,0.0005100092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001889004,"about_ca_system_score_gemma":0.0002131973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893123,"about_ca_topic_score_gemma":0.003372877,"domain_scores_codex":[0.9997168,0.00003586313,0.00001169621,0.0001067255,0.00007589719,0.00005303509],"domain_scores_gemma":[0.9990392,0.0001784972,0.0002479396,0.0001042759,0.0001985105,0.0002316239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003438537,0.0001281869,0.575417,0.0001582129,0.0001445746,0.0004697614,0.000526743,0.0007773917,0.3825414,0.0003846095,0.0009035695,0.0382046],"study_design_scores_gemma":[0.00002614751,0.000215944,0.951979,0.00001841051,0.00007687173,0.0005893159,0.0002919833,0.002581922,0.03901661,0.0002940063,0.004884907,0.00002473567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783137,0.001000419,0.01440289,0.00006771192,0.00002269415,0.00007415722,0.00211543,0.0004735918,0.003529432],"genre_scores_gemma":[0.9877819,0.0002281463,0.009293521,0.00004785199,0.00003811453,0.00002529214,0.001904483,0.00003188046,0.0006488204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001893123,"threshold_uncertainty_score":0.003764153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04970698260910133,"score_gpt":0.2037124673969299,"score_spread":0.1540054847878285,"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."}}