{"id":"W4393543446","doi":"10.5281/zenodo.7255530","title":"Numerical Model Generated Baja Test Scenes for EarthCARE Pre-launch Studies - Part 2: Hydrometeor and Aerosol Properties","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerosol; Remote sensing; Test (biology); Environmental science; Meteorology; Atmospheric sciences; Aerospace engineering; Astrobiology; Computer science; Physics; Geology; Engineering","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":[0.0004256857,0.0009409703,0.000807427,0.0007976845,0.0005575452,0.0009171029,0.001456503,0.0008475556,0.01027611],"category_scores_gemma":[0.0009637792,0.0003876609,0.0009055587,0.001229758,0.0003308664,0.0006371505,0.0003977419,0.001274467,0.004340352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317465,"about_ca_system_score_gemma":0.001555945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1235125,"about_ca_topic_score_gemma":0.1726365,"domain_scores_codex":[0.9996779,0.00004275876,0.00001588235,0.00008194409,0.0001053824,0.00007626573],"domain_scores_gemma":[0.999543,0.00005333539,0.00002925689,0.00008148388,0.0002308445,0.00006209037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001117793,0.001096934,0.03481091,0.0005106778,0.0004482574,0.0002521724,0.0001904424,0.2994549,0.01000319,0.00348438,0.6256928,0.0229375],"study_design_scores_gemma":[0.001616653,0.0001769166,0.0622275,0.0001371538,0.0001245874,0.0001610647,0.0003365299,0.6902053,0.008344911,0.002744503,0.2337229,0.0002020399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1607679,0.0004466269,0.009762613,0.0008565979,0.0007232096,0.0004466371,0.79523,0.009806086,0.02196037],"genre_scores_gemma":[0.2158262,0.0001513634,0.0151974,0.0001852028,0.00006848721,0.0003641978,0.7640929,0.001285684,0.002828501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1235125,"threshold_uncertainty_score":0.2455871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07927149099567135,"score_gpt":0.2617805356266859,"score_spread":0.1825090446310146,"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."}}