{"id":"W2951580868","doi":"10.5194/asr-16-103-2019","title":"Verifying the spatial consistency of the CAMS Radiation Service and HelioClim-3 satellite-derived databases of solar radiation using a dense network of measuring stations: the case of The Netherlands","year":2019,"lang":"en","type":"article","venue":"Advances in science and research","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Consistency (knowledge bases); Environmental science; Irradiance; Database; Satellite; Meteorology; Standard deviation; Remote sensing; Computer science; Statistics; Geography; Mathematics; Physics","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":[0.002862049,0.0003173157,0.0003808135,0.001266741,0.0003054986,0.001336976,0.00088055,0.0004240858,0.0006642555],"category_scores_gemma":[0.009020296,0.0002793369,0.0003220884,0.003243724,0.0003538676,0.001334169,0.001040623,0.0003062892,0.0002538786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268486,"about_ca_system_score_gemma":0.001250728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1534999,"about_ca_topic_score_gemma":0.1269902,"domain_scores_codex":[0.9975712,0.0006068873,0.0002206891,0.0007770228,0.0006686816,0.0001554609],"domain_scores_gemma":[0.9929256,0.001964025,0.001260015,0.001814943,0.001878768,0.0001565482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003873002,0.000317806,0.7690292,0.0006984699,0.0008448368,0.001191507,0.002029696,0.08115526,0.008421496,0.004328987,0.007101004,0.1244945],"study_design_scores_gemma":[0.0001106363,0.0001175625,0.8471332,0.0001883078,0.0002556342,0.0003332687,0.002316731,0.11084,0.006427367,0.001314037,0.03089372,0.00006959427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725195,0.0007157158,0.01116981,0.0001447693,0.00003379753,0.00007680762,0.0105519,0.0001068737,0.00468072],"genre_scores_gemma":[0.9750693,0.0001809044,0.009811945,0.00002244321,0.00001582865,0.00007558889,0.01415503,0.00005287544,0.000616109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1534999,"threshold_uncertainty_score":0.3052129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06894261485514462,"score_gpt":0.3590682108008829,"score_spread":0.2901255959457383,"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."}}