{"id":"W2804357320","doi":"10.1016/j.asr.2018.05.011","title":"Formation of multiple landers for asteroid detumbling","year":2018,"lang":"en","type":"article","venue":"Advances in Space Research","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Asteroid; Spacecraft; Inertial frame of reference; Aerospace engineering; Orientation (vector space); Thrust; Near-Earth object; Physics; Computer science; Geology; Geometry; Astrobiology; Mathematics; Classical mechanics; Engineering","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":[0.0002652354,0.0005042091,0.0006038697,0.0005540789,0.001554146,0.001337368,0.0008978234,0.001079448,0.007044777],"category_scores_gemma":[0.0009049725,0.0004508334,0.0005188531,0.0001797164,0.000801729,0.001197503,0.001627878,0.0007288758,0.001919711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006139916,"about_ca_system_score_gemma":0.0005319364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047323,"about_ca_topic_score_gemma":0.001339754,"domain_scores_codex":[0.9998354,0.00001214514,0.00000735599,0.00006756125,0.00002895389,0.00004859053],"domain_scores_gemma":[0.9995474,0.00003905546,0.00007702335,0.000143245,0.00005670697,0.0001366076],"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":[0.001662427,0.0005377855,0.2532246,0.0004619918,0.0002665689,0.009992507,0.003437717,0.02913515,0.5539339,0.0821747,0.004623504,0.06054918],"study_design_scores_gemma":[0.0006661891,0.004112519,0.3696744,0.0002311219,0.0004678934,0.01012387,0.0140363,0.2464042,0.2154027,0.08443088,0.05397422,0.0004757582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773855,0.0002478648,0.008665044,0.0002735856,0.0001020778,0.0000601781,0.0001267464,0.0002128867,0.0129262],"genre_scores_gemma":[0.9926479,0.00004015076,0.004307151,0.00003235935,0.00001073921,0.00001354202,0.0001627715,0.00003817451,0.002747159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007044777,"threshold_uncertainty_score":0.02356708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05568357489346606,"score_gpt":0.3902846512253341,"score_spread":0.3346010763318681,"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."}}