{"id":"W3200827242","doi":"10.32393/csme.2021.58","title":"Attitude Determination And Control System Flight Software Development And Design","year":2021,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering. Volume 4","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Control (management); Software; Software development; Software design; Systems engineering; Software engineering; Engineering; Operating system; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001836584,0.0001529064,0.0001855528,0.0001247099,0.00004748456,0.00005962735,0.00005625855,0.0001424799,0.000008300008],"category_scores_gemma":[0.00005912583,0.000177053,0.00001532482,0.0001528318,0.00001230673,0.00008469232,0.00001287243,0.0001501521,0.000004983439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003694048,"about_ca_system_score_gemma":0.00008211107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004840615,"about_ca_topic_score_gemma":0.006672177,"domain_scores_codex":[0.9990791,0.00002123046,0.0002219877,0.0001980817,0.0001137554,0.0003658389],"domain_scores_gemma":[0.9994957,0.0000396533,0.00001329811,0.00009568991,0.00004474087,0.0003108941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006201919,0.00008559683,0.03182735,0.004747401,0.0003393064,0.003215704,0.001682732,0.09496997,0.007348925,0.01006184,0.0003035291,0.8453556],"study_design_scores_gemma":[0.0005171839,0.00002035398,0.006778388,0.0002015797,0.00001695288,0.00007952355,0.00001506998,0.9788992,0.008992283,0.00001148329,0.004152031,0.0003159494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.40256,0.01315916,0.5799761,0.0004280349,0.001376041,0.001291281,0.00004895071,0.001062315,0.00009814628],"genre_scores_gemma":[0.9701726,0.00001459893,0.02960973,0.00002224404,0.00004606048,0.00007586122,0.00001188332,0.00003326899,0.00001379136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8839293,"threshold_uncertainty_score":0.7220013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006509575183737618,"score_gpt":0.1904494378285063,"score_spread":0.1839398626447687,"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."}}