{"id":"W3136300018","doi":"10.1145/3249579","title":"Session details: M2-D: next generation mobile networks symposium","year":2006,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Session (web analytics); Computer science; Computer network; World Wide Web","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007160495,0.001186411,0.001497378,0.0007786575,0.001577218,0.002369394,0.0007890208,0.002898854,0.5819333],"category_scores_gemma":[0.000882099,0.0001965939,0.000891529,0.001063255,0.0002681265,0.001109589,0.0009910365,0.001670226,0.3274883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004167584,"about_ca_system_score_gemma":0.0006150611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605203,"about_ca_topic_score_gemma":0.004058763,"domain_scores_codex":[0.9997813,0.00003407487,0.00001016428,0.00004678508,0.00006528441,0.0000624428],"domain_scores_gemma":[0.9989365,0.0001897207,0.00003536587,0.0000751967,0.0003100854,0.0004531846],"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":[0.0003694838,0.0001103983,0.0004235907,0.0003403723,0.00002137482,0.0001093549,0.000040306,0.00022531,0.002900566,0.0008084979,0.9353088,0.05934199],"study_design_scores_gemma":[0.00006972266,0.0001749538,0.001933255,0.00009800239,0.00003123655,0.0001255293,0.00005528925,0.000929819,0.001205997,0.0004666137,0.994885,0.00002451458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006583684,0.01113604,0.009743026,0.009849924,0.04797403,0.001024408,0.01650119,0.004146977,0.8930407],"genre_scores_gemma":[0.02326248,0.00607911,0.001647405,0.001037708,0.007434581,0.0002662379,0.006463749,0.0006335852,0.9531751],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4180667,"threshold_uncertainty_score":0.5963213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530696681789757,"score_gpt":0.2189279194695353,"score_spread":0.2036209526516377,"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."}}