{"id":"W4249894601","doi":"10.1109/mcom.2012.6316770","title":"Global Communications Newsletter","year":2012,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Telecommunications; Computer science; Library 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006760561,0.001292637,0.0006703783,0.003375627,0.001537883,0.006123367,0.0007999605,0.002178579,0.4491557],"category_scores_gemma":[0.002589518,0.0003343089,0.0004527181,0.003493463,0.0003861604,0.002333003,0.001279998,0.002305681,0.3816557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009822466,"about_ca_system_score_gemma":0.002063023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472249,"about_ca_topic_score_gemma":0.00719119,"domain_scores_codex":[0.9992761,0.00005467211,0.0000253079,0.00009600572,0.0004438061,0.0001041195],"domain_scores_gemma":[0.997831,0.0003117372,0.0001194172,0.0001609855,0.001127707,0.0004491196],"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":[0.000007290741,0.00001073709,0.00005649195,0.00004028171,9.700225e-7,0.00002825399,0.0000131518,0.000008745176,0.00008997237,0.0006492196,0.973265,0.02582991],"study_design_scores_gemma":[0.000001804333,0.00000708691,0.0002586825,0.00003022723,0.000001011003,0.00003522636,0.00002586241,0.00001021506,0.00003242067,0.0000994841,0.9994962,0.000001763856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007706695,0.006328086,0.0004924949,0.01417304,0.02548795,0.000108227,0.005372081,0.001456112,0.9458115],"genre_scores_gemma":[0.00257104,0.005392503,0.0002860114,0.005383029,0.007398073,0.00005911125,0.004163941,0.0003949876,0.9743513],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4491557,"threshold_uncertainty_score":0.7857125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04332634830025225,"score_gpt":0.3094947609086347,"score_spread":0.2661684126083824,"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."}}