{"id":"W6990309188","doi":"","title":"Development of an Orbital LIDAR System for Mars Atmospheric Research","year":2025,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Lidar; Mars Exploration Program; Martian; Atmosphere of Mars; Atmospheric model; Atmosphere (unit); Monte Carlo method; Scattering; Orbital mechanics","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":[0.0004651676,0.0002700445,0.0002574965,0.0002622128,0.0004508561,0.000497478,0.0008237672,0.0005027786,0.003247514],"category_scores_gemma":[0.0006123071,0.0002182308,0.0002879243,0.0002749969,0.0001307168,0.0005830756,0.0003882161,0.0004070777,0.001059464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005327581,"about_ca_system_score_gemma":0.0007790342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005474517,"about_ca_topic_score_gemma":0.004047237,"domain_scores_codex":[0.9998306,0.00004572234,0.000004827959,0.00002289637,0.00008092874,0.00001488115],"domain_scores_gemma":[0.9998214,0.00004376989,0.00001004787,0.0000248664,0.0000831243,0.00001697023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001948817,0.0001273716,0.006233279,0.00007285453,0.00004708919,0.0002012296,0.0001402468,0.8670847,0.02397712,0.01253268,0.005822119,0.08356645],"study_design_scores_gemma":[0.00002026319,0.00004223923,0.0003463004,0.000004881425,0.000005089009,0.00002505376,0.000008169347,0.9905924,0.003370614,0.0006531322,0.004922314,0.000009493668],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2101479,0.0003810813,0.748615,0.0006965561,0.0001734563,0.0005528946,0.00161863,0.009599099,0.02821532],"genre_scores_gemma":[0.6912216,0.0002352439,0.297372,0.0001560473,0.00003562476,0.0004891219,0.001337182,0.0003342607,0.008818909],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005474517,"threshold_uncertainty_score":0.0108853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233937346314067,"score_gpt":0.2122566058915087,"score_spread":0.188862871260102,"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."}}