{"id":"W4385258480","doi":"10.3847/1538-4365/acda24","title":"RMTable2023 and PolSpectra2023: Standards for Reporting Polarizationand Faraday Rotation Measurements of Radio Sources","year":2023,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"European Research Council; University of Toronto; Commonwealth Scientific and Industrial Research Organisation; Science and Technology Facilities Council; European Commission; Deutsche Forschungsgemeinschaft; Canada Foundation for Innovation; National Aeronautics and Space Administration","keywords":"Faraday effect; Polarization (electrochemistry); Limiting; Faraday cage; Computer science; Physics; Remote sensing; Magnetic field; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01333905,0.001365879,0.0008211894,0.0175214,0.001955206,0.004888659,0.003274313,0.001680511,0.04165885],"category_scores_gemma":[0.04802379,0.000692647,0.0007695173,0.02417318,0.0009288096,0.004696772,0.004006533,0.001868923,0.04606028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191446,"about_ca_system_score_gemma":0.006165803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010862,"about_ca_topic_score_gemma":0.0105264,"domain_scores_codex":[0.9855193,0.002552497,0.003883458,0.0009170756,0.006105116,0.001022678],"domain_scores_gemma":[0.9133524,0.009088313,0.012409,0.02610267,0.0368856,0.002162026],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000259094,0.0001365275,0.01593784,0.001057853,0.00005252272,0.0001529232,0.0005393992,0.0007224377,0.008021928,0.02215149,0.8048313,0.1461367],"study_design_scores_gemma":[0.00002945506,0.00004220579,0.01966534,0.0003922353,0.00001772748,0.0002298106,0.0002058415,0.0003726186,0.003284469,0.003282867,0.9724154,0.00006190297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.02318146,0.002630613,0.1446162,0.00371887,0.003417192,0.003295028,0.6121045,0.03033855,0.1766976],"genre_scores_gemma":[0.02737382,0.002199475,0.1367794,0.002566542,0.001415039,0.004395895,0.7809442,0.006503611,0.03782204],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.986661,"threshold_uncertainty_score":0.1393628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359145379581443,"score_gpt":0.2766562922275662,"score_spread":0.2530648384317518,"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."}}