{"id":"W4210911128","doi":"10.1007/978-1-4614-6170-8_100072","title":"Smartphone Proximity Networks","year":2014,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003515705,0.0004760259,0.0005821774,0.00009563749,0.0001379259,0.0002087862,0.001227596,0.0006324008,0.0006850658],"category_scores_gemma":[0.00000164008,0.0004094101,0.0002271728,0.00004497981,0.0001082332,0.0001503082,0.0005673629,0.0006563617,0.000585345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004277569,"about_ca_system_score_gemma":0.0001237522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007726581,"about_ca_topic_score_gemma":0.00001131132,"domain_scores_codex":[0.9978064,0.00002270338,0.000481762,0.0007991515,0.0004244012,0.0004655697],"domain_scores_gemma":[0.9977778,0.0001414777,0.0002662626,0.001400917,0.0001104352,0.0003031346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003302684,0.000006397389,0.000002661031,0.000008705966,0.00002851185,0.00004566802,0.000007611071,0.00003414328,6.328855e-8,0.6681374,0.06926581,0.2624597],"study_design_scores_gemma":[0.0001584446,0.00006143191,0.0000031405,0.00008058166,0.00002172083,0.00003894406,2.379068e-7,0.5212858,4.745253e-7,0.03940254,0.4384584,0.0004883065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[1.117213e-7,0.0001872669,0.5096403,0.0001482678,0.0008259816,0.0001325839,0.000001249847,0.0002515807,0.4888127],"genre_scores_gemma":[0.008048802,0.0002211245,0.01450656,0.002240488,0.00115153,0.000008915962,0.00003652435,0.00005245939,0.9737336],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6287349,"threshold_uncertainty_score":0.9998358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868906558581808,"score_gpt":0.2018614121955998,"score_spread":0.1831723466097818,"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."}}