{"id":"W4395699045","doi":"10.1007/978-3-031-53618-2_30","title":"Scientific Challenges for Lidar-Based Dust and Ice Cloud Characterization on Mars","year":2024,"lang":"en","type":"book-chapter","venue":"Springer aerospace technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Mars Exploration Program; Lidar; Martian; Remote sensing; Astrobiology; Environmental science; Atmosphere of Mars; Atmospheric sciences; Geology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002367014,0.0006546426,0.0006009575,0.001054579,0.000396202,0.00365762,0.001740668,0.001830768,0.00838293],"category_scores_gemma":[0.001551547,0.0004219003,0.0004231304,0.001368498,0.0006651522,0.004725482,0.001264755,0.002585024,0.004329226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007618411,"about_ca_system_score_gemma":0.0008445337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002186132,"about_ca_topic_score_gemma":0.00284706,"domain_scores_codex":[0.9995137,0.00007795919,0.00001868922,0.0000596715,0.0002955719,0.00003430851],"domain_scores_gemma":[0.9990031,0.000528629,0.0000274144,0.00007400476,0.0003184279,0.0000484292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003956138,0.00006892998,0.0006505731,0.001132028,0.00002915218,0.0001172359,0.0002477305,0.006955861,0.01611383,0.04995301,0.1200983,0.8045939],"study_design_scores_gemma":[0.000007528235,0.00006577616,0.001228844,0.0004595167,0.0000184448,0.0003017171,0.0003683705,0.01811766,0.006639119,0.05309769,0.9196547,0.00004074281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01793795,0.5436097,0.1779474,0.06847769,0.01098845,0.0001331707,0.002229175,0.002115831,0.1765607],"genre_scores_gemma":[0.1289981,0.4247608,0.2167216,0.01071638,0.01443899,0.0002253673,0.003643176,0.001471884,0.1990237],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00838293,"threshold_uncertainty_score":0.02804363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452958936943143,"score_gpt":0.2184974599008539,"score_spread":0.2039678705314225,"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."}}