{"id":"W4247989590","doi":"10.1007/978-3-319-47922-4_1","title":"Introduction","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001062252,0.0001859643,0.0001925932,0.00007268559,0.00005006685,0.0000676573,0.0004618941,0.0002126664,0.002669131],"category_scores_gemma":[7.856245e-7,0.0001294551,0.00008348167,0.00001334031,0.00004481953,0.0001573625,0.0001799649,0.0001539104,0.002607241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003195868,"about_ca_system_score_gemma":0.00006772082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.60913e-7,"about_ca_topic_score_gemma":6.922006e-7,"domain_scores_codex":[0.9989617,0.000004967462,0.0002022531,0.0004479951,0.0002155522,0.0001675091],"domain_scores_gemma":[0.9989798,0.0000332497,0.0001024666,0.0007196309,0.00007088168,0.00009394452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[7.362486e-7,0.000001169029,6.924718e-8,0.000001432413,0.000007379823,0.00000964142,0.000002643126,7.767553e-8,6.168459e-7,0.5828585,0.1525862,0.2645315],"study_design_scores_gemma":[0.00005599463,0.000023799,2.075051e-7,0.00002018501,0.000006123067,0.00003164508,1.4417e-7,0.003481085,0.000002311108,0.1562744,0.8399214,0.0001827169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[1.348377e-8,0.00005669491,0.4876238,0.002244117,0.001015334,0.00003825767,0.000001197831,0.0001252904,0.5088953],"genre_scores_gemma":[0.0002513349,0.0001261324,0.005838195,0.0004385001,0.003499595,0.000001675933,0.000005353234,0.00001623384,0.989823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6873352,"threshold_uncertainty_score":0.9982426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635553790597484,"score_gpt":0.2028557917863735,"score_spread":0.1865002538803986,"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."}}