{"id":"W2896047414","doi":"10.3390/galaxies6040112","title":"The Power of Low Frequencies: Faraday Tomography in the Sub-GHz Regime","year":2018,"lang":"en","type":"preprint","venue":"Galaxies","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto; University of Calgary","funders":"","keywords":"Faraday effect; Physics; Faraday cage; Context (archaeology); Galaxy; Magnetic field; Astrophysics; Low frequency; Faraday rotator; Tomography; Optics; Computational physics; Astronomy; Geology","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":[0.0006503909,0.0004239116,0.0004405406,0.001131024,0.0005067915,0.002771851,0.0005512239,0.001035594,0.002934561],"category_scores_gemma":[0.002424965,0.0002516586,0.0002250304,0.001380807,0.002286587,0.004421933,0.001372275,0.00144215,0.00116721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000678324,"about_ca_system_score_gemma":0.0002009233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000598913,"about_ca_topic_score_gemma":0.0004837504,"domain_scores_codex":[0.999629,0.00008101048,0.00001533428,0.0001331262,0.00009859647,0.00004286307],"domain_scores_gemma":[0.9986394,0.0007026971,0.0002405386,0.0001920702,0.0001608716,0.00006440608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002315278,0.00003585907,0.02701399,0.001213328,0.00008034975,0.0007314166,0.001427489,0.004478313,0.06371783,0.474159,0.01271201,0.4141989],"study_design_scores_gemma":[0.00002036018,0.0001746216,0.05481057,0.0009328987,0.00009246301,0.003128713,0.001202213,0.007413046,0.04323721,0.4579504,0.4308967,0.000140833],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1876235,0.1791364,0.4555552,0.01430744,0.001889284,0.00003852077,0.0008686432,0.001101932,0.1594792],"genre_scores_gemma":[0.8705926,0.04693131,0.06436729,0.001546913,0.002315095,0.00006024129,0.0005074715,0.0002745355,0.01340463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002934561,"threshold_uncertainty_score":0.009817123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008413851393856035,"score_gpt":0.2441797152570785,"score_spread":0.2357658638632224,"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."}}