{"id":"W6967151965","doi":"10.48550/arxiv.1907.11642","title":"The C-Band All-Sky Survey (C-BASS): Simulated parametric fitting in single pixels in total intensity and polarization","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Science and Technology Facilities Council","keywords":"Cosmic microwave background; Spectral index; Polarization (electrochemistry); Cosmic background radiation; Sky; Curvature; Synchrotron; Parametric statistics; Parametric model","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":[0.001004274,0.0005439537,0.0004236866,0.0004435693,0.0004655176,0.0006860096,0.001343545,0.0007589824,0.003110189],"category_scores_gemma":[0.00225287,0.0003447115,0.0007471055,0.001047814,0.0002862962,0.0006820728,0.0006768507,0.001213933,0.0006293269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005094153,"about_ca_system_score_gemma":0.0005100621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0174328,"about_ca_topic_score_gemma":0.01726237,"domain_scores_codex":[0.9996742,0.0001423604,0.00001167431,0.00007422508,0.00004394878,0.00005356955],"domain_scores_gemma":[0.9993485,0.0002603652,0.00004155396,0.0001656814,0.000115726,0.00006828429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006883909,0.0002521512,0.04946045,0.0001072004,0.0001971923,0.0001667534,0.0001361609,0.9091681,0.002879601,0.01082826,0.008829097,0.01728668],"study_design_scores_gemma":[0.0001362135,0.00008832075,0.02066407,0.00001345741,0.00003637867,0.00008147157,0.00007096554,0.9653258,0.002501046,0.005293456,0.005745853,0.00004290606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8746051,0.000180921,0.09234155,0.000353768,0.00008884999,0.0001662164,0.01508741,0.003616592,0.01355963],"genre_scores_gemma":[0.9418113,0.00008501782,0.0411519,0.00007298882,0.00001973323,0.0001386266,0.01475455,0.0005102407,0.001455469],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0174328,"threshold_uncertainty_score":0.03466266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06148042951191839,"score_gpt":0.1898294616867048,"score_spread":0.1283490321747864,"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."}}