{"id":"W3185196186","doi":"10.1525/elementa.2020.00083","title":"Seasonal and interannual variations in the propagation of photosynthetically available radiation through the Arctic atmosphere","year":2021,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université Laval","funders":"","keywords":"Atmosphere (unit); Arctic; Environmental science; Atmospheric sciences; Climatology; Sea ice; Photosynthetically active radiation; Meteorology; Geology; Oceanography; Geography; Photosynthesis; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008587333,0.00007302458,0.00009533669,0.000008628981,0.0004369747,0.00005038248,0.0004406774,0.00001858419,0.001304741],"category_scores_gemma":[0.0002212636,0.00003609613,0.00003472894,0.0006735321,0.001282466,0.0003363762,0.00005360372,0.0001094332,0.000005884214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000125281,"about_ca_system_score_gemma":0.0002682953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438943,"about_ca_topic_score_gemma":0.0005655733,"domain_scores_codex":[0.9987506,0.0001453669,0.0002378956,0.000179279,0.0004979913,0.0001889002],"domain_scores_gemma":[0.9992681,0.00020749,0.0001444335,0.0002520224,0.0001075343,0.0000204089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005666255,0.0002437331,0.9421237,0.0000896338,0.00003801297,0.000003613102,0.008989589,0.002293503,0.002169248,0.01449548,0.0005058683,0.02899094],"study_design_scores_gemma":[0.0005278763,0.0001884591,0.870383,0.000133029,0.0000679476,0.00006097059,0.01250504,0.09633487,0.01254813,0.006450571,0.0006388841,0.0001612469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887476,0.000181979,0.0005248602,0.006948124,0.000269664,0.0002570599,0.0000409255,0.000003269284,0.003026514],"genre_scores_gemma":[0.9983165,0.0001699097,0.001103292,0.0003273822,0.00002674331,0.000001398665,0.000009621192,0.00000148826,0.00004361399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09404137,"threshold_uncertainty_score":0.9996082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009604092720426146,"score_gpt":0.2351379194727662,"score_spread":0.22553382675234,"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."}}