{"id":"W4318711305","doi":"10.20533/cice.2022.0030","title":"Accessibility and Flexibility in Experiential Aerospace Education","year":2022,"lang":"en","type":"article","venue":"","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Aerospace; Agency (philosophy); Flexibility (engineering); Space (punctuation); Experiential learning; Cube (algebra); Engineering management; Test (biology); Knowledge management; Engineering; Computer science; Mathematics education; Psychology; Sociology; Political science; Aerospace engineering; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109942,0.00005110889,0.00006524879,0.0000634513,0.00003635443,0.000009623456,0.00007107965,0.00002838225,0.0005867801],"category_scores_gemma":[0.00001257448,0.00005558769,0.000009712461,0.0001672242,0.0000242276,0.00006227259,0.00006749771,0.0001197512,0.000002153738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000920953,"about_ca_system_score_gemma":0.00002040307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007076973,"about_ca_topic_score_gemma":0.00009098416,"domain_scores_codex":[0.9996086,0.00001913154,0.00008109053,0.0001415809,0.00005196767,0.00009765608],"domain_scores_gemma":[0.9997877,0.00001083631,0.00000616006,0.0001690884,0.000004942754,0.00002125582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001279078,0.001121755,0.5349669,0.0001784283,0.00003716701,0.00001332294,0.007469758,0.004361244,0.1379596,0.02919771,0.01731041,0.2672558],"study_design_scores_gemma":[0.003022698,0.0003547593,0.5595051,0.00001621834,0.00002026136,0.00008468298,0.02617964,0.1618317,0.1393277,0.03295147,0.07509422,0.001611499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930682,0.000283797,0.0009818034,0.0001183999,0.0002780941,0.00011967,7.959896e-7,0.0002608805,0.004888367],"genre_scores_gemma":[0.9990063,0.000007146027,0.0005713904,0.00003415831,0.000008979864,0.0001104041,0.000002253329,0.000006206255,0.0002531815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2656443,"threshold_uncertainty_score":0.6424831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009971212812331928,"score_gpt":0.2508169239106236,"score_spread":0.2408457110982917,"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."}}