{"id":"W2139424529","doi":"10.2514/6.2010-2157","title":"RyeFemSat: Ryerson University Femtosatellite Design and Testing","year":2010,"lang":"en","type":"article","venue":"SpaceOps 2010 Conference","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canada Research Chairs","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001464332,0.0001746991,0.0001631052,0.000128079,0.00008592497,0.00004507574,0.0001961427,0.000231545,0.0001072206],"category_scores_gemma":[0.00008155444,0.0001883128,0.00001915657,0.0002233338,0.0001545657,0.0001297229,0.00004822441,0.0005186395,0.0001153291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001611014,"about_ca_system_score_gemma":0.00003880711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007489757,"about_ca_topic_score_gemma":0.00009051284,"domain_scores_codex":[0.9992793,0.00002167255,0.00008075747,0.0002303459,0.00008108465,0.0003068305],"domain_scores_gemma":[0.9993681,0.0001422521,0.00002667977,0.0002794072,0.00006269641,0.0001208748],"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":[0.00001729614,0.00001574375,0.007848382,0.00004330766,0.00003484983,0.00007348238,0.0003876418,0.0001375713,0.9359692,0.01151832,0.001594165,0.04236004],"study_design_scores_gemma":[0.002663289,0.0004312778,0.06975728,0.0001638886,0.0001416256,0.0004020335,0.001113743,0.5739341,0.2064117,0.00724582,0.1352254,0.002509848],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7724926,0.0002005809,0.192882,0.0005046337,0.001090609,0.0004216618,0.000007680535,0.001980003,0.03042021],"genre_scores_gemma":[0.9600938,0.00007913893,0.03857061,0.00001364882,0.0000349182,0.000001994973,0.000001365706,0.00002237797,0.001182164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7295575,"threshold_uncertainty_score":0.7679172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712862582584314,"score_gpt":0.1820748766932588,"score_spread":0.1549462508674157,"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."}}