{"id":"W2902044979","doi":"","title":"A comparison of visibility parameterizations using surface observations","year":2007,"lang":"en","type":"preprint","venue":"INRIA a CCSD electronic archive server","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Visibility; Computer science; Meteorology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004710223,0.0003973791,0.0006322617,0.000006168754,0.0002129515,0.00003392796,0.0006989041,0.0002633777,0.0009958585],"category_scores_gemma":[0.00007319458,0.0004056318,0.0002740468,0.0004187047,0.0004172229,0.000124199,0.001418458,0.0009503352,0.0000390342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006259844,"about_ca_system_score_gemma":0.0002780122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002373793,"about_ca_topic_score_gemma":0.004456783,"domain_scores_codex":[0.9968694,0.0002056928,0.0008550124,0.0007775652,0.0005194182,0.0007729291],"domain_scores_gemma":[0.9980873,0.0001865537,0.0006018404,0.0009506839,0.00003453654,0.0001391033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006590961,0.000470506,0.5069739,0.00007074661,0.0001284453,0.000001546293,0.001522803,0.4707676,0.01705318,0.002211687,0.0002822825,0.0004514754],"study_design_scores_gemma":[0.0006324274,0.0003154562,0.5256845,0.0001526168,0.0002903637,0.000005155876,0.0002645245,0.4322876,0.002995182,0.03274817,0.003542691,0.001081203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8824527,0.0001621235,0.115617,0.00005980155,0.0001499945,0.000631777,0.00006620626,0.00005959134,0.0008008418],"genre_scores_gemma":[0.9718732,0.00003471389,0.02760956,0.00009165723,0.00004215574,0.00001518757,0.0001556927,0.00004631223,0.0001315605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08942051,"threshold_uncertainty_score":0.9999174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05519856036760214,"score_gpt":0.3345149157658006,"score_spread":0.2793163553981984,"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."}}