{"id":"W2921180782","doi":"","title":"Mobile Wireless in Canada: Recognizing the Problems and Approaching Solutions","year":2014,"lang":"en","type":"article","venue":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","topic":"ICT Impact and Policies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Wireless; Computer security; Telecommunications","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":[0.0001236692,0.0003035555,0.0002965739,0.0004779486,0.001045626,0.00008932193,0.0004933868,0.000150928,0.00001293585],"category_scores_gemma":[0.00001073608,0.0003240029,0.000100857,0.0007754788,0.0003332984,0.001261621,0.0002722585,0.0005128185,0.000003223267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162126,"about_ca_system_score_gemma":0.0009428323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09156816,"about_ca_topic_score_gemma":0.04436065,"domain_scores_codex":[0.998522,0.0001911934,0.0002189085,0.000254433,0.0002729545,0.0005405166],"domain_scores_gemma":[0.9991749,0.0001571531,0.00008038526,0.0003010021,0.00004118384,0.0002454047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002967506,0.0001873881,0.08631194,0.0008868525,0.0007091135,0.001216627,0.01400229,0.6030416,0.01285771,0.2484835,0.01483831,0.01716799],"study_design_scores_gemma":[0.001507548,0.00008497382,0.01145617,0.0002663021,0.0001416699,0.0001856218,0.0122957,0.03239924,0.001998413,0.00007408731,0.9386111,0.0009791829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8384455,0.0003667434,0.001165114,0.0001648168,0.0007056966,0.0003252946,0.00005262203,0.0002510515,0.1585231],"genre_scores_gemma":[0.9949088,0.0003304729,0.00006772728,0.0001106762,0.0001508609,0.000001070679,0.00003535354,0.00002904144,0.004366037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9237728,"threshold_uncertainty_score":0.9999212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008287772126133955,"score_gpt":0.1422082087799115,"score_spread":0.1339204366537775,"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."}}