{"id":"W3092790950","doi":"","title":"How consistent is cloudiness over Canada from satellite observations and modeling data","year":2004,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cloud cover; Climatology; Satellite; Environmental science; Meteorology; Remote sensing; Geography; Computer science; Cloud computing; Geology","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":[0.002390534,0.000427543,0.0005460056,0.002532743,0.001668851,0.004540285,0.001403531,0.0009725671,0.0009906221],"category_scores_gemma":[0.01779606,0.0004171481,0.0008883384,0.005380381,0.001125054,0.001982673,0.0006840139,0.0008573176,0.0002571952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01699201,"about_ca_system_score_gemma":0.02130746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9849738,"about_ca_topic_score_gemma":0.9840364,"domain_scores_codex":[0.997929,0.0002591718,0.0001464072,0.0004396065,0.0007817955,0.0004440184],"domain_scores_gemma":[0.9889965,0.002565603,0.001024081,0.0006326571,0.006195158,0.0005859914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001771341,0.00003035507,0.9672589,0.00008488983,0.0007713097,0.00009587801,0.0003979866,0.01361867,0.0007195522,0.0005208347,0.003385307,0.01293915],"study_design_scores_gemma":[0.0000382608,0.00001958155,0.973187,0.000132298,0.0003578029,0.00005576143,0.00107499,0.01850079,0.0009815004,0.0005965921,0.004987489,0.0000679609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757394,0.002455927,0.001188659,0.001615153,0.00007784399,0.00002904751,0.01310278,0.0001501056,0.005641122],"genre_scores_gemma":[0.9921827,0.0006069554,0.0005821045,0.0001678907,0.0000252724,0.000004625927,0.006001385,0.00004072398,0.0003882787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01699201,"threshold_uncertainty_score":0.1232863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0474782514601975,"score_gpt":0.2243094964551673,"score_spread":0.1768312449949699,"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."}}