{"id":"W4394057568","doi":"10.5281/zenodo.7254610","title":"Numerical Model Generated Halifax 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; Environmental science; Meteorology; Remote sensing; Test (biology); Nadir; Astrobiology; Computer science; Atmospheric sciences; Aerospace engineering; Geology; Satellite; Geography; Physics; 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":[0.0003598946,0.001572596,0.0007418098,0.001177275,0.0005273824,0.0008018803,0.001779894,0.000989601,0.01073629],"category_scores_gemma":[0.0008283984,0.0003295317,0.0008688234,0.001683594,0.0003711089,0.0006351994,0.0006282434,0.001061492,0.008985534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171891,"about_ca_system_score_gemma":0.001332797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1121952,"about_ca_topic_score_gemma":0.2028445,"domain_scores_codex":[0.9996723,0.00003497172,0.00001838001,0.0001003609,0.0001077712,0.00006634973],"domain_scores_gemma":[0.9995576,0.00004330786,0.00002770125,0.0001016893,0.0002183417,0.00005152803],"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":[0.0003165909,0.0002474326,0.008603236,0.0003410672,0.000126199,0.0001494302,0.00007375678,0.02234558,0.001854032,0.0008704026,0.9551922,0.009879984],"study_design_scores_gemma":[0.00101059,0.0001359958,0.06870028,0.0002635704,0.0001026447,0.0003126205,0.0005321339,0.1435103,0.009740789,0.002929081,0.7725801,0.000181766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0122024,0.0001280829,0.001010272,0.0002008531,0.0001232156,0.00007758656,0.9808611,0.002563403,0.002832957],"genre_scores_gemma":[0.009898975,0.00003536107,0.001753055,0.0000379719,0.00001000141,0.00006592461,0.9873361,0.0001391881,0.0007234638],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8878048,"threshold_uncertainty_score":0.2230843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08002791155895511,"score_gpt":0.2628274488103368,"score_spread":0.1827995372513817,"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."}}