{"id":"W6894171138","doi":"10.5281/zenodo.7304769","title":"Balancing transparency and conformance of an AI conflict detection and resolution support system","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Deep River Science Academy","funders":"","keywords":"Automation; Air traffic control; Transparency (behavior); Air traffic management; Resolution (logic); Conflict resolution","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":[0.0001663983,0.00007170141,0.00008888003,0.00007400368,0.000300139,0.0001173648,0.0001148633,0.00003406944,0.0001877056],"category_scores_gemma":[0.00002482926,0.00008152804,0.00000981275,0.0001802235,0.00004277997,0.0002982799,0.00006205941,0.0000828929,0.00004758914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002563015,"about_ca_system_score_gemma":6.290038e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003356897,"about_ca_topic_score_gemma":2.831283e-7,"domain_scores_codex":[0.9994246,0.00003975596,0.0001643015,0.0001423596,0.0001126215,0.0001163441],"domain_scores_gemma":[0.9996983,0.000003726842,0.00003377715,0.0000881033,0.0000887128,0.00008741238],"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":[0.0004023964,0.00009577659,0.00006920229,0.006990402,0.0002272453,0.00002507866,0.02541946,0.1479327,0.04461292,0.01212561,0.01782273,0.7442765],"study_design_scores_gemma":[0.0005234099,0.0002632983,0.001078149,0.00003422226,0.00002094149,0.0000218857,0.0006370317,0.8034998,0.00120796,0.000002742691,0.1925788,0.0001316848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.292347,0.0003035934,0.611237,0.0004567931,0.0001894891,0.001156291,0.0001575734,0.004071026,0.09008119],"genre_scores_gemma":[0.9992011,0.00011752,0.0001875598,0.00003225112,0.00003578668,2.627067e-8,0.0002012943,0.0002090083,0.00001545238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7441448,"threshold_uncertainty_score":0.3324617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829815197728349,"score_gpt":0.1975147889136945,"score_spread":0.179216636936411,"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."}}