{"id":"W3215283118","doi":"10.1007/s40295-022-00356-6","title":"Investigating the Risks of Debris-Generating ASAT Tests in the Presence of Megaconstellations","year":2023,"lang":"en","type":"article","venue":"The Journal of the Astronautical Sciences","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Satellite; Collision; Debris; Space debris; Fragmentation (computing); Physics; Environmental science; Statistics; Computer science; Meteorology; Mathematics; Astronomy; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001821163,0.0005020641,0.0002626557,0.001188071,0.0007408871,0.0009523882,0.0007895082,0.001324362,0.001830463],"category_scores_gemma":[0.008267402,0.0002053986,0.0004842976,0.000473141,0.0005660739,0.0008233214,0.0008571494,0.0005452543,0.0004814186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006206355,"about_ca_system_score_gemma":0.0009634295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003564439,"about_ca_topic_score_gemma":0.003978967,"domain_scores_codex":[0.9984695,0.0004109813,0.00006319852,0.0001417634,0.0007200469,0.0001944731],"domain_scores_gemma":[0.9910843,0.004092937,0.002439007,0.000444226,0.001473065,0.0004664421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003733278,0.000441984,0.9008569,0.0001740914,0.0002356696,0.00603098,0.001488607,0.02065415,0.02776376,0.001525215,0.001318695,0.03577669],"study_design_scores_gemma":[0.0001731844,0.01417494,0.7491733,0.000304642,0.001017472,0.01365937,0.008632393,0.105905,0.08962995,0.004733155,0.01244583,0.0001507326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952572,0.0001851316,0.001989951,0.0001648924,0.00001832398,0.00003284389,0.0001050271,0.00004962321,0.002197077],"genre_scores_gemma":[0.9987869,0.00007677802,0.0005689338,0.000034887,0.000006801549,0.000007312448,0.00005633224,0.000007121494,0.0004551189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003564439,"threshold_uncertainty_score":0.009631336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06250279517779088,"score_gpt":0.3062660111086536,"score_spread":0.2437632159308627,"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."}}