{"id":"W2883481734","doi":"10.1016/j.procs.2018.07.048","title":"Certain Investigations on Soft Lander for Lunar Exploration","year":2018,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Patient Safety Institute","keywords":"Soft landing; Computer science; Aerospace engineering; Interfacing; Drop test; Kinematics; Drop (telecommunication); Marine engineering; Simulation; Arduino; Geology; Environmental science; Mechanical engineering; Physics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001711157,0.0003549615,0.0003224679,0.0004459243,0.0004864548,0.0007252531,0.0003849515,0.0005015647,0.006443842],"category_scores_gemma":[0.0004633587,0.0001279563,0.0003795718,0.0004988717,0.0002986555,0.0009726862,0.0004860701,0.000390435,0.001093098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002168817,"about_ca_system_score_gemma":0.0002171441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000821501,"about_ca_topic_score_gemma":0.001041415,"domain_scores_codex":[0.9998316,0.0000216018,0.000005026382,0.00003485618,0.00007850004,0.00002836951],"domain_scores_gemma":[0.9997911,0.00005289632,0.0000159008,0.00004574662,0.00006220039,0.00003221447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004228511,0.0003314701,0.0119045,0.001940579,0.00007406875,0.001978031,0.001118782,0.03343611,0.5581553,0.01802674,0.006345211,0.3662664],"study_design_scores_gemma":[0.00008619779,0.004663685,0.03988722,0.000472372,0.0002323497,0.00378389,0.005020729,0.2466281,0.4592922,0.01908886,0.2206724,0.0001720138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8235592,0.009980572,0.1148534,0.001701283,0.0003462578,0.0001675097,0.0003957651,0.0008965411,0.04809954],"genre_scores_gemma":[0.9547523,0.005876537,0.02164932,0.000179849,0.00006407824,0.00004350313,0.0002981679,0.00007398538,0.01706223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006443842,"threshold_uncertainty_score":0.02155674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935752766675044,"score_gpt":0.2618762590883082,"score_spread":0.2225187314215578,"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."}}