{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008108345,0.001382774,0.001153264,0.001745029,0.002224196,0.008817324,0.002160054,0.004940746,0.9366819],"category_scores_gemma":[0.004129157,0.0004749482,0.0009686586,0.0009918847,0.0008132632,0.003713553,0.004348559,0.003169626,0.9228425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269535,"about_ca_system_score_gemma":0.001874442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265991,"about_ca_topic_score_gemma":0.002347288,"domain_scores_codex":[0.9988961,0.00009819793,0.00005226441,0.0003098845,0.0004724081,0.0001711427],"domain_scores_gemma":[0.9971913,0.000328144,0.0001095388,0.00031259,0.0009644515,0.001094124],"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":[0.00003192874,0.00003095858,0.0001045944,0.0001890933,0.000003830836,0.00007555396,0.0000396405,0.00002762412,0.0003645206,0.001734616,0.9241859,0.07321174],"study_design_scores_gemma":[0.000004495197,0.000007373083,0.000091649,0.00005625552,0.000001015905,0.00003801693,0.00003320545,0.00001473761,0.00005157248,0.0003089858,0.9993899,0.000002837503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000342176,0.001791684,0.0009526592,0.005749011,0.01476078,0.000126486,0.002094291,0.002748298,0.9714346],"genre_scores_gemma":[0.0007685488,0.0007357873,0.0002356212,0.002459839,0.001248292,0.00003905474,0.000966255,0.0005801396,0.9929664],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06331813,"threshold_uncertainty_score":0.09031558,"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."}}