{"id":"W4323528601","doi":"10.1007/978-3-031-26254-8_59","title":"Explainable Prediction of Intelligent DTN Routing","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Routing (electronic design automation); Computer network","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007267858,0.0003646954,0.0007115105,0.0002000689,0.0001022771,0.0001482834,0.0003953107,0.0006937229,0.000006949352],"category_scores_gemma":[0.00001367444,0.0003212754,0.0001098842,0.000157784,0.0000693926,0.00009573635,0.000256826,0.0006404519,0.000004940649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006453812,"about_ca_system_score_gemma":0.00006151382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009179773,"about_ca_topic_score_gemma":0.00003281158,"domain_scores_codex":[0.9977746,0.00005498426,0.0008290786,0.0005981117,0.0003384949,0.0004047108],"domain_scores_gemma":[0.9982433,0.000577558,0.0004245389,0.0005453491,0.00009933543,0.0001099107],"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":[0.00003644708,0.00002857134,0.0008365505,0.0005744068,0.0001943534,0.0003169671,0.001058704,0.4201028,0.000002489669,0.266414,0.001814592,0.3086201],"study_design_scores_gemma":[0.000138156,0.00009441799,0.00001511979,0.00154049,0.00002280962,0.00004447149,0.000009246753,0.9837255,0.000001060981,0.009723095,0.004436322,0.0002492908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0000136612,0.00566115,0.9664969,0.00004355288,0.002827621,0.0004197051,0.00001341627,0.0001356839,0.02438828],"genre_scores_gemma":[0.9802583,0.002292351,0.0004637956,0.00007488491,0.00130394,0.00002575348,0.00006561551,0.00006894008,0.01544636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9802447,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554365030554885,"score_gpt":0.2259293703820394,"score_spread":0.1903857200764905,"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."}}