{"id":"W4255963852","doi":"10.1007/978-1-4939-7131-2_100673","title":"Mobile Community","year":2018,"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 Calgary","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003082766,0.0006398283,0.0003447748,0.001469428,0.00224123,0.003454937,0.001170259,0.001463882,0.1679084],"category_scores_gemma":[0.001212232,0.0002804745,0.00032329,0.001695066,0.0007134961,0.006172325,0.003454634,0.001440377,0.08471041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013541,"about_ca_system_score_gemma":0.0009946139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372473,"about_ca_topic_score_gemma":0.003411399,"domain_scores_codex":[0.9997317,0.00004269953,0.000006760661,0.00006903949,0.0000984648,0.00005127688],"domain_scores_gemma":[0.9996518,0.00005200581,0.00001570376,0.00007166392,0.0001000411,0.000108824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000311231,0.00004879226,0.0001110309,0.0001590851,0.00000367303,0.0000928429,0.0007010914,0.0001904053,0.0009660766,0.2707035,0.432184,0.2948084],"study_design_scores_gemma":[0.000002475108,0.000006140621,0.00005216597,0.00004208332,0.000001138215,0.00009093664,0.0001307015,0.0001287323,0.0001332225,0.01183929,0.9875705,0.000002805671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001279587,0.00236311,0.007967998,0.00265502,0.001198426,0.00006875269,0.0003041326,0.0005442452,0.9836187],"genre_scores_gemma":[0.01344148,0.002267866,0.00286284,0.0008214284,0.0005810469,0.00008831843,0.0004701948,0.0002526892,0.9792141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1679084,"threshold_uncertainty_score":0.5617095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04231229615216855,"score_gpt":0.247674293423758,"score_spread":0.2053619972715895,"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."}}