{"id":"W1999514805","doi":"10.1016/j.cor.2013.03.017","title":"A reliable model for global planning of mobile networks","year":2013,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Survivability; Reliability (semiconductor); Mathematical optimization; Network model; Network planning and design; Artificial intelligence; Computer network; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.002017052,0.001151454,0.00185828,0.001302005,0.0009192904,0.002200249,0.003077161,0.002074248,0.006110003],"category_scores_gemma":[0.01035289,0.001280994,0.001220015,0.002124732,0.001905803,0.002965361,0.001816385,0.002238336,0.0007047206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002443959,"about_ca_system_score_gemma":0.002280737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02177694,"about_ca_topic_score_gemma":0.01455823,"domain_scores_codex":[0.9991068,0.0003792436,0.00004498961,0.0001388113,0.0001971679,0.00013293],"domain_scores_gemma":[0.9961743,0.002599718,0.0003348172,0.0002678706,0.0004518604,0.0001714835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001400805,0.000003588201,0.00006599085,0.00001744441,0.000008256093,0.00002715509,0.00002241029,0.9495247,0.00005536214,0.04783333,0.0005053922,0.001922343],"study_design_scores_gemma":[0.000008219966,0.000006035257,0.00002189991,0.000004835887,0.000005326421,0.000005960884,0.000006077478,0.9606611,0.00002722729,0.03879936,0.0004497418,0.000004259479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01488741,0.0006065672,0.9744187,0.001024072,0.0000820527,0.00004434938,0.0005186348,0.0002333615,0.008184775],"genre_scores_gemma":[0.8036818,0.001935996,0.1751789,0.0002533187,0.0002424126,0.0004570617,0.000867953,0.0003186398,0.01706385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02177694,"threshold_uncertainty_score":0.04330039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045670554258109,"score_gpt":0.4086070722463527,"score_spread":0.3040400168205419,"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."}}