{"id":"W4388561862","doi":"10.1109/dasc58513.2023.10311173","title":"Front Matter","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Air Force Research Laboratory; U.S. Air Force; Defense Advanced Research Projects Agency; Drexel University","keywords":"Session (web analytics); Front (military); Library science; Thursday; Media studies; History; Engineering; Computer science; Sociology; World Wide Web","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00001831123,0.0001262914,0.0001134352,0.00009002805,0.00001275755,0.00003212405,0.00009019612,0.0001166335,0.1909509],"category_scores_gemma":[4.282744e-7,0.000119163,0.0000361603,0.00005141617,0.000004113288,0.00003021809,0.00002248508,0.0000902471,0.7529812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000227421,"about_ca_system_score_gemma":0.000002223277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004401836,"about_ca_topic_score_gemma":0.00000731947,"domain_scores_codex":[0.9995983,0.000002711631,0.0001032345,0.00009972056,0.00006932897,0.0001266823],"domain_scores_gemma":[0.9998299,0.000006277563,0.000009118282,0.0001295086,0.00000642423,0.00001870417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[1.666098e-7,7.647888e-7,5.381317e-7,0.00009164926,0.00002390714,5.19064e-7,0.000009239199,0.2681728,1.401985e-7,0.000006587729,0.7312045,0.0004892256],"study_design_scores_gemma":[0.00003723139,0.000001671865,0.00001644037,0.00002032755,0.00001084178,5.913033e-8,0.000007321446,0.135511,0.00000432813,0.000002542195,0.8642383,0.0001499639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003187631,0.0001303668,0.06691678,0.00004667919,0.003308541,0.00009958578,0.000008931131,0.0004835525,0.9290024],"genre_scores_gemma":[0.0001180377,0.0004879927,0.0006531819,0.00008580107,0.0002831494,0.00001957443,0.0005455949,0.00007391135,0.9977328],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5620303,"threshold_uncertainty_score":0.8097886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008235512081296428,"score_gpt":0.1995353336235823,"score_spread":0.1912998215422858,"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."}}