{"id":"W2379959175","doi":"","title":"Mobility Aware Technologies and Applications: Second International Workshop, MATA 2005, Montreal, Canada, October 17 -- 19, 2005, Proceedings (Lecture Notes in Computer Science)","year":2005,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Media studies; Computer science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007819967,0.000596978,0.0004946406,0.0007628503,0.000270579,0.0008620118,0.003356409,0.0003704758,0.00007614095],"category_scores_gemma":[0.00003619154,0.000598693,0.0000775243,0.0002437071,0.0005358172,0.000464834,0.002826675,0.0009065796,0.00001059067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002484746,"about_ca_system_score_gemma":0.001956874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007317014,"about_ca_topic_score_gemma":0.3967342,"domain_scores_codex":[0.9956189,0.00001554295,0.0006547721,0.001827195,0.0009679162,0.0009156704],"domain_scores_gemma":[0.9977637,0.000152746,0.0004049532,0.001233374,0.0002295583,0.0002157027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001895462,0.00009569512,0.0006704822,0.0003096784,0.0001340416,0.00007270043,0.0002546861,0.003165783,0.00001671175,0.008281042,0.1489939,0.8379864],"study_design_scores_gemma":[0.0006173096,0.00002366508,0.001773968,0.0004439631,0.00003272901,0.00002798593,0.00002667638,0.04125075,0.0002812476,0.01248325,0.9419052,0.001133241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00188632,0.006809997,0.7896186,0.009916293,0.00199083,0.01088385,0.0002712668,0.002444363,0.1761785],"genre_scores_gemma":[0.1829738,0.001147103,0.1381197,0.01371364,0.007279608,0.00891687,0.0003688055,0.0006218755,0.6468586],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8368531,"threshold_uncertainty_score":0.9996464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008782564076319716,"score_gpt":0.2168704872331342,"score_spread":0.2080879231568144,"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."}}