{"id":"W7011501020","doi":"","title":"Magnetic field measurements of young white dwarfs (Bagnulo+, 2022)","year":2025,"lang":"en","type":"dataset","venue":"VizieR Online Data Catalog","topic":"Russia and Soviet political economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spectrograph; White dwarf; Stars; Magnetic field; Dispersion (optics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009750638,0.0003778557,0.000747433,0.0002636124,0.0002640688,0.0001185352,0.003654292,0.0006166487,0.002557697],"category_scores_gemma":[0.001745776,0.0003800711,0.0001467206,0.0004538878,0.0004171876,0.0003738561,0.001252534,0.0006422559,0.00009097139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140821,"about_ca_system_score_gemma":0.001404456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02223776,"about_ca_topic_score_gemma":0.04270567,"domain_scores_codex":[0.9965295,0.0002735676,0.0008380883,0.000878002,0.0007593155,0.0007215888],"domain_scores_gemma":[0.9960725,0.0002765918,0.0002988055,0.002885931,0.0001682451,0.0002979311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001276662,0.0002430938,0.0004014195,0.0002128649,0.00007681312,0.00001261633,0.00008312352,1.606815e-7,0.000001850843,0.0002518811,0.9970669,0.001636488],"study_design_scores_gemma":[0.0002978862,0.00008972443,0.00016288,0.0001705316,0.0002646278,0.000001397952,0.0001974728,0.000005434686,0.00000791765,0.0001996593,0.9982405,0.0003619718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002954672,0.001055979,0.0000118386,0.002231476,0.001586597,0.0004384669,0.9857919,0.00003544615,0.008818727],"genre_scores_gemma":[0.00006372337,0.001123685,0.0003203253,0.001275334,0.0007479246,0.0000224436,0.9922565,0.00001224162,0.004177862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02046791,"threshold_uncertainty_score":0.9998651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05231137677596353,"score_gpt":0.3492066031017636,"score_spread":0.2968952263258001,"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."}}