{"id":"W6889779543","doi":"10.26023/vdgm-vsa5-rq0a","title":"UAH MIPS Ceilometer Data. Version 1.0","year":2014,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ceilometer; Profiling (computer programming); Cloud computing; Base (topology); Data collection","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":["insufficient_payload"],"category_scores_codex":[0.002601065,0.001110393,0.001163507,0.000682936,0.0003961934,0.0004682098,0.005300814,0.001064529,0.004516317],"category_scores_gemma":[0.001752715,0.001168626,0.0001505988,0.001599286,0.0002230593,0.00101851,0.003536157,0.001832911,0.14197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001598652,"about_ca_system_score_gemma":0.0008500353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003482047,"about_ca_topic_score_gemma":0.0009775794,"domain_scores_codex":[0.9931508,0.001111338,0.0008872655,0.002084247,0.001591994,0.001174406],"domain_scores_gemma":[0.987286,0.0004177067,0.0008975024,0.01024432,0.000603772,0.0005507299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005337238,0.0001155546,0.0001648269,0.0004952179,0.0001627603,0.0001120435,0.0000141078,0.0000105608,0.0006096668,0.000002008374,0.9981559,0.0001039687],"study_design_scores_gemma":[0.0007641673,0.00008930972,0.001220705,0.0004806694,0.0003218515,0.000004547902,0.00001894019,0.00007182424,0.000111757,0.000004709163,0.9956506,0.001260942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001569852,0.001917917,0.000003819379,0.00007461354,0.003341516,0.0004634859,0.9920127,0.0005265097,0.00008960044],"genre_scores_gemma":[0.00003256578,0.0002026207,0.001146972,0.001663618,0.00210188,0.00002373658,0.9941719,0.0003503422,0.0003063676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1374537,"threshold_uncertainty_score":0.9990764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04307151962754082,"score_gpt":0.2749667152457287,"score_spread":0.2318951956181879,"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."}}