{"id":"W2083272187","doi":"10.1088/1742-6596/440/1/012039","title":"The Next Generation of Canadian Solar Flux Monitoring","year":2013,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Proxy (statistics); Measure (data warehouse); Flux (metallurgy); Wavelength; Solar radio; Environmental science; Solar atmosphere; Remote sensing; Atmospheric sciences; Physics; Meteorology; Optics; Astrophysics; Computer science; Materials science; Geography","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00009602646,0.00008176612,0.0001072351,0.000006354833,0.0001670143,0.00007207738,0.0002153563,0.00003058767,0.000296724],"category_scores_gemma":[0.00001143629,0.00005684082,0.00004854268,0.0001191684,0.0002208295,0.0008153273,0.00004480651,0.0001186572,0.00003939698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080464,"about_ca_system_score_gemma":0.00004262044,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01020109,"about_ca_topic_score_gemma":0.001940183,"domain_scores_codex":[0.9993122,0.00002368746,0.0002237807,0.00006210487,0.0002183578,0.0001598522],"domain_scores_gemma":[0.9995284,0.00001553791,0.0002082902,0.0001144237,0.00002652175,0.0001068129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001401785,0.00005426342,0.06664427,0.000007623042,0.00005950873,0.00000521398,0.002097435,0.03021065,0.3114014,0.002662248,0.00159737,0.585246],"study_design_scores_gemma":[0.0006949589,0.0009123657,0.3670583,0.0001077022,0.0001091727,0.00007554772,0.0139864,0.02000692,0.5388782,0.02531944,0.03204137,0.000809632],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925238,0.00004111832,0.004929363,0.000436936,0.0002586212,0.00006613759,6.4497e-7,0.00000222141,0.001741162],"genre_scores_gemma":[0.9938592,0.0003139127,0.005011319,0.00002164873,0.0001425557,0.000002139583,5.202467e-7,0.000006811696,0.0006418804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5844364,"threshold_uncertainty_score":0.99639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564944557305991,"score_gpt":0.2066408059713997,"score_spread":0.1709913603983398,"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."}}