{"id":"W2887831052","doi":"","title":"Analysis of cloud retrievals from MODIS and their impact on radiative fluxes over Canada in the context of application for the CloudSat mission","year":2006,"lang":"en","type":"article","venue":"12th Conference on Atmospheric Radiation/12th Conference on Cloud Physics (10-14 July 2006)","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Environmental science; Radiative transfer; Remote sensing; Cloud computing; Meteorology; Atmospheric sciences; Climatology; Geography; Computer science; Geology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005636089,0.0006766514,0.001004535,0.000006949599,0.0003270214,0.0001004672,0.0008957804,0.0002176434,0.001816844],"category_scores_gemma":[0.0001248659,0.0004116632,0.0003363882,0.001472503,0.0004911503,0.0001626886,0.00007887639,0.0003595905,0.00002553515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005083731,"about_ca_system_score_gemma":0.0004570598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1526101,"about_ca_topic_score_gemma":0.02265866,"domain_scores_codex":[0.9963245,0.000289033,0.0009393738,0.0008934375,0.000985626,0.0005680246],"domain_scores_gemma":[0.9956452,0.00180855,0.001150074,0.001066317,0.0001761645,0.0001536495],"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":[0.004255799,0.002887041,0.1054823,0.00009624759,0.002169855,0.000006220544,0.01091769,0.531545,0.008980514,0.04322791,0.07532602,0.2151054],"study_design_scores_gemma":[0.002389386,0.001069295,0.3435768,0.0001135659,0.0005716794,4.826479e-7,0.002116628,0.6311594,0.004322432,0.0080339,0.005704091,0.000942332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830844,0.0002288645,0.007339497,0.0008431379,0.0002276953,0.001726671,0.001283213,0.00002819306,0.005238362],"genre_scores_gemma":[0.9978788,0.0001825975,0.0001235699,0.0005824892,0.0002114684,0.0001311081,0.0002897617,0.00004024537,0.00055991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2380945,"threshold_uncertainty_score":0.9998335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314470799070409,"score_gpt":0.2477961770334032,"score_spread":0.2346514690426992,"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."}}