{"id":"W1988174970","doi":"10.1016/j.atmosres.2006.03.003","title":"Detecting cloud vertical structures from radiosondes and MODIS over Arctic first-year sea ice","year":2006,"lang":"en","type":"article","venue":"Atmospheric Research","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Canada Research Chairs; ArcticNet","keywords":"Radiosonde; Arctic; Cirrus; Cloud top; Cloud base; Environmental science; Atmospheric sciences; Meteorology; Cloud computing; The arctic; Climatology; Geology; Oceanography; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005667805,0.0002358888,0.0002455933,7.118065e-7,0.0006394057,0.0001762686,0.0003979322,0.0001669674,0.005860562],"category_scores_gemma":[0.0002304066,0.0002020138,0.00007066275,0.0005816112,0.0007280051,0.0002210336,0.0004365061,0.0005473208,0.0002763496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003132981,"about_ca_system_score_gemma":0.00002388279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03867938,"about_ca_topic_score_gemma":0.00101536,"domain_scores_codex":[0.9970276,0.0002365626,0.0002791377,0.0007072925,0.0009006514,0.0008487709],"domain_scores_gemma":[0.9985948,0.0006299908,0.00003739278,0.0004684278,0.00002621787,0.0002431918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001228885,0.00009001642,0.9781256,0.0000257561,0.0000332343,0.000051755,0.0004517709,0.003894928,0.004148594,0.000543026,0.006411775,0.006100712],"study_design_scores_gemma":[0.0006745893,0.0001526445,0.9521587,0.00002117719,0.00001766503,0.000009188704,0.0005167562,0.02527549,0.001169454,0.0154374,0.004218799,0.0003481783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924212,0.0004791978,0.0007942792,0.000256498,0.000122417,0.0002562704,0.000003700602,0.00006335412,0.005603093],"genre_scores_gemma":[0.9891506,0.00007410917,0.00960981,0.0000737875,0.0003466517,0.00002790542,0.000004490796,0.00004473382,0.0006679001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03766402,"threshold_uncertainty_score":0.9950482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574251472358358,"score_gpt":0.268398598097945,"score_spread":0.2526560833743615,"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."}}