{"id":"W4400289642","doi":"10.5194/epsc2024-994","title":"Martian dust properties through NOMAD UVIS-LNO nadir datasets&amp;#8217; investigation: analysis update","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Martian; Nadir; Astrobiology; Mars Exploration Program; Physics; Chemistry; Astronomy; Satellite","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":[0.0009260998,0.0008104297,0.0005058055,0.002461246,0.0004967632,0.001619078,0.001271455,0.0004912078,0.002860593],"category_scores_gemma":[0.001422457,0.0002784852,0.0008177984,0.002298643,0.0002330419,0.0008169381,0.0009527939,0.0006603087,0.00282693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006184154,"about_ca_system_score_gemma":0.0008146274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03444448,"about_ca_topic_score_gemma":0.04011259,"domain_scores_codex":[0.9993275,0.00007561455,0.00004696325,0.0001886199,0.0002854589,0.00007587922],"domain_scores_gemma":[0.9989023,0.0001290801,0.0001339311,0.0003557418,0.000398093,0.00008082771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007469011,0.0005720202,0.4387026,0.001301472,0.001121151,0.000813071,0.0004450757,0.02269458,0.01382568,0.002286532,0.3368053,0.1806857],"study_design_scores_gemma":[0.0001670305,0.0001291909,0.4969968,0.0002750418,0.0002150783,0.0003921848,0.0004276572,0.06087903,0.01275595,0.0009840507,0.4266682,0.0001098365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3222867,0.003299694,0.009389614,0.0007425646,0.0002563996,0.000253874,0.6417491,0.009543023,0.01247902],"genre_scores_gemma":[0.2364524,0.0009745119,0.02616646,0.0002552307,0.0001785028,0.0003419351,0.731393,0.0007420655,0.003495944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03444448,"threshold_uncertainty_score":0.068488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05397406852798808,"score_gpt":0.2593037787197109,"score_spread":0.2053297101917229,"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."}}