{"id":"W7030546291","doi":"","title":"NUUG Oslo: Decentralized Open Source Mesh Networks - Benedict Lau","year":2018,"lang":"no","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Medical and Health Sciences Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open source; Mesh networking; Field (mathematics); Key (lock)","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":[],"consensus_categories":[],"category_scores_codex":[0.002664149,0.0008433448,0.0006504181,0.001311647,0.001086239,0.003041198,0.001479142,0.001521285,0.06702897],"category_scores_gemma":[0.006711549,0.0006341215,0.000465373,0.001475177,0.0007497736,0.004558956,0.003708181,0.001603861,0.03398982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009880479,"about_ca_system_score_gemma":0.002133317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005292001,"about_ca_topic_score_gemma":0.006573603,"domain_scores_codex":[0.9987016,0.0001973437,0.00009040939,0.0001858218,0.0006801024,0.0001446705],"domain_scores_gemma":[0.9966404,0.0007005405,0.0001609207,0.001142902,0.000648588,0.0007066392],"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":[0.0004953435,0.0001671111,0.001012546,0.0005224797,0.0000324828,0.0005152287,0.0005027984,0.006284177,0.007737111,0.03079046,0.6888497,0.2630907],"study_design_scores_gemma":[0.0001106547,0.00008555469,0.001232609,0.0001745019,0.00001246789,0.0002476516,0.0001957633,0.01878253,0.00343257,0.01500059,0.9606707,0.0000545587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02036887,0.006846375,0.3563603,0.01573537,0.006238931,0.001595822,0.02210443,0.2307581,0.3399918],"genre_scores_gemma":[0.1370662,0.008608942,0.1627123,0.001828011,0.002235618,0.001177586,0.06038468,0.03504598,0.5909407],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06702897,"threshold_uncertainty_score":0.2242342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653851256683903,"score_gpt":0.2673779238781395,"score_spread":0.2508394113113005,"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."}}