{"id":"W3176160541","doi":"10.1109/seams51251.2021.00040","title":"RoboMAX: Robotic Mission Adaptation eXemplars","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Adaptation (eye); Computer science; Domain (mathematical analysis); Key (lock); Human–computer interaction; Data science; Computer security","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":[0.0001523631,0.00008045894,0.0001010539,0.00004046441,0.00006212365,0.00005226909,0.0002731315,0.00004044298,0.00001969126],"category_scores_gemma":[0.0006496594,0.00007417049,0.00003368468,0.0003011901,0.000009366137,0.0003665693,0.0001600203,0.00007571452,0.00003639475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003867336,"about_ca_system_score_gemma":0.00005033305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000251212,"about_ca_topic_score_gemma":0.000001757678,"domain_scores_codex":[0.9992506,0.00007366108,0.0001144583,0.0002567298,0.0001407856,0.0001637766],"domain_scores_gemma":[0.9991147,0.0003494526,0.00002490516,0.0003863652,0.00007169025,0.00005286971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.229614e-7,0.00001169083,0.00001594949,0.000007164445,0.000004003952,0.00004589742,0.0002188139,0.9197804,0.004376265,0.02165526,0.000263054,0.05362085],"study_design_scores_gemma":[0.0004863504,0.00008475927,0.002918903,0.00006933947,0.0000101825,0.0002245449,0.0002529757,0.7142925,0.1179318,0.1585971,0.004445233,0.0006862918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005037235,0.0002317406,0.996735,0.0009309907,0.0005140676,0.00003262241,8.121121e-8,0.0006607944,0.0003910205],"genre_scores_gemma":[0.02360152,0.00001943882,0.9746235,0.0001408061,0.00001965347,0.000002014104,0.000001665496,0.000006390128,0.001585018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2054879,"threshold_uncertainty_score":0.3024585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07287415992067818,"score_gpt":0.2996328149355953,"score_spread":0.2267586550149172,"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."}}