{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001769123,0.001306286,0.0006528508,0.001739833,0.0009412218,0.001581736,0.003623878,0.001741682,0.01270545],"category_scores_gemma":[0.006953024,0.0007033023,0.00107056,0.001520466,0.0008269629,0.002124538,0.002252273,0.002308046,0.00573026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006249746,"about_ca_system_score_gemma":0.0008104592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004027934,"about_ca_topic_score_gemma":0.01065819,"domain_scores_codex":[0.9983233,0.0003899586,0.0001368194,0.0002391037,0.0007838499,0.0001269778],"domain_scores_gemma":[0.995792,0.001721886,0.000206615,0.001346124,0.000717284,0.0002160666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001061331,0.001040701,0.008294772,0.006009415,0.0003278363,0.003613344,0.00296878,0.1651534,0.02958961,0.03785713,0.4252707,0.318813],"study_design_scores_gemma":[0.0001741634,0.0006135107,0.006874189,0.0006417678,0.00009197576,0.002090374,0.0008030107,0.170656,0.03122067,0.01799484,0.7685634,0.0002761288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1131614,0.003621264,0.6133278,0.002255248,0.001631196,0.001936077,0.0567667,0.1190731,0.08822722],"genre_scores_gemma":[0.2493894,0.00373729,0.5642802,0.0007634141,0.0002539708,0.002326011,0.1184482,0.01990512,0.0408965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01270545,"threshold_uncertainty_score":0.04250395,"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."}}