{"id":"W1751973921","doi":"10.1093/mnras/stv920","title":"Multiscale analysis of the gradient of linear polarization","year":2015,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Climate variability and models","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Astrophysics; Spectral density; Galactic plane; Wavelet; Power law; Linear polarization; Telescope; Polarization (electrochemistry); Computational physics; Optics; Galaxy; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003479848,0.0002954545,0.0002333865,0.001149682,0.0001709549,0.0007610999,0.0004248374,0.0002165373,0.0009822508],"category_scores_gemma":[0.001141696,0.0001657458,0.000381977,0.0006248825,0.0003505477,0.0005278896,0.0004420996,0.0004369546,0.0002178957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000299213,"about_ca_system_score_gemma":0.0003419011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020569,"about_ca_topic_score_gemma":0.002684973,"domain_scores_codex":[0.9998659,0.00002008295,0.000004663483,0.00002496141,0.00005240078,0.00003194794],"domain_scores_gemma":[0.9996887,0.00007338947,0.00006865597,0.00004017938,0.00009191812,0.00003723826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001513614,0.00008972187,0.01877658,0.0001834405,0.0002568229,0.0006599963,0.0003872853,0.3099745,0.2186449,0.1112115,0.005411634,0.3342523],"study_design_scores_gemma":[0.000004669503,0.00002130861,0.01207845,0.000008006046,0.00001531185,0.00008262648,0.00004212492,0.9635836,0.005628021,0.01632433,0.002189897,0.00002174031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1023809,0.0001746167,0.894803,0.0001501631,0.00002995334,0.00002190027,0.0001920064,0.0002776787,0.001969859],"genre_scores_gemma":[0.8262085,0.000378245,0.1708253,0.00007768128,0.00008999241,0.00004794046,0.000393457,0.0001641082,0.001814782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003020569,"threshold_uncertainty_score":0.006005943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149844671297192,"score_gpt":0.2167209608280886,"score_spread":0.2017364936983694,"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."}}