{"id":"W2952257676","doi":"10.24843/spektrum.2019.v06.i02.p14","title":"RANCANGAN PENEMPATAN ACCESS POINT UNTUK MENDUKUNG LAYANAN E-LEARNING DI AREA KAMPUS TEKNIK ELEKTRO UNIVERSITAS UDAYANA","year":2019,"lang":"en","type":"article","venue":"Jurnal SPEKTRUM","topic":"IoT-based Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Computer science; Point (geometry); Range (aeronautics); Access technology; Local area network; Computer network; Wireless; Telecommunications; Engineering; Mathematics; Aerospace engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000782147,0.000445077,0.0006403999,0.000410991,0.0004119192,0.0008498303,0.002750075,0.0001728656,0.0002083217],"category_scores_gemma":[0.0000566817,0.0004204289,0.0002864306,0.0008843022,0.00005730534,0.002084778,0.0007738805,0.0007530184,0.0005459386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005717775,"about_ca_system_score_gemma":0.0002959361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009111154,"about_ca_topic_score_gemma":0.000154413,"domain_scores_codex":[0.9962869,0.0003295508,0.0005480205,0.0008792765,0.000905727,0.001050478],"domain_scores_gemma":[0.9976745,0.0001579833,0.0004958483,0.00109207,0.0001706281,0.0004089696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001072601,0.0009568122,0.590544,0.000528713,0.00173658,0.003893172,0.007039737,0.02603861,0.06856409,0.1789719,0.02982072,0.09083305],"study_design_scores_gemma":[0.02325537,0.003404595,0.2206307,0.001488812,0.0005112602,0.001440294,0.004917073,0.475928,0.02357502,0.003828887,0.2340922,0.006927774],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8673565,0.0007448533,0.06722699,0.004302337,0.004118664,0.001221376,0.00002149008,0.0008657747,0.05414197],"genre_scores_gemma":[0.9967704,0.00001383314,0.0004769765,0.0004269186,0.0003599511,0.00000672491,0.00001247582,0.0000478007,0.001884946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4498894,"threshold_uncertainty_score":0.9998248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007915364245218305,"score_gpt":0.2139267711606881,"score_spread":0.2060114069154698,"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."}}