{"id":"W2899945429","doi":"10.1029/2018ja025577","title":"Microchannel Plate Efficiency to Detect Low Velocity Dust Impacts","year":2018,"lang":"en","type":"article","venue":"Journal of Geophysical Research Space Physics","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Solar System Exploration Research Virtual Institute; National Aeronautics and Space Administration","keywords":"Charged particle; Range (aeronautics); Detector; Physics; Particle (ecology); Microchannel plate detector; Electron; Comet; Plasma; Ion; Cosmic dust; Microchannel; Optics; Computational physics; Materials science; Nuclear physics; Astrophysics; Mechanics; Composite material","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":[0.001455315,0.0006270888,0.000362395,0.0009003026,0.0002031062,0.0007065517,0.0008715537,0.0005279746,0.001399634],"category_scores_gemma":[0.002290286,0.0003159654,0.0002171973,0.0003649931,0.0004365029,0.0003723378,0.0003844319,0.0003955554,0.0004478904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005151223,"about_ca_system_score_gemma":0.0002224514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100822,"about_ca_topic_score_gemma":0.001025293,"domain_scores_codex":[0.9985476,0.0002250886,0.00004958768,0.0003979817,0.0006609554,0.0001186915],"domain_scores_gemma":[0.9970825,0.001850176,0.0002201597,0.0002422519,0.0005482562,0.00005659659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003079031,0.00004775549,0.01639287,0.0001049435,0.00005728379,0.00005630127,0.00008550651,0.0007601748,0.9639701,0.0002802426,0.0001614949,0.01777538],"study_design_scores_gemma":[0.000003357353,0.0001637637,0.01034292,0.000003977897,0.00002496488,0.0001065203,0.00001913528,0.004194417,0.9842731,0.00003080253,0.0008277015,0.000009299043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9097766,0.002356649,0.08374102,0.0001096812,0.00009754725,0.0001178511,0.0003284271,0.0007887697,0.002683628],"genre_scores_gemma":[0.9718175,0.0003718109,0.02580544,0.00004286638,0.00001134364,0.00005763376,0.0001777689,0.00004684872,0.001668845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001455315,"threshold_uncertainty_score":0.007696569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003745247271937,"score_gpt":0.3274236072315768,"score_spread":0.2973861547588574,"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."}}