{"id":"W4312300695","doi":"10.14209/sbrt.2022.1570813118","title":"Avaliação Experimental do Tempo de Formação de uma Rede Multi-salto do Padrão Wi-SUN FAN","year":2022,"lang":"pt","type":"article","venue":"Anais do XL Simpósio Brasileiro de Telecomunicações e Processamento de Sinais","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Computer science; Physics","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002841991,0.001724678,0.001524091,0.0009632119,0.002990916,0.001281363,0.005487006,0.0007374299,0.002645479],"category_scores_gemma":[0.0005319318,0.002092928,0.0008441045,0.002073095,0.000420925,0.001170113,0.003359492,0.003074271,0.0001342828],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005738959,"about_ca_system_score_gemma":0.001406031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352657,"about_ca_topic_score_gemma":0.0005513557,"domain_scores_codex":[0.9900306,0.001242256,0.002109344,0.001600916,0.001235716,0.003781162],"domain_scores_gemma":[0.9927144,0.0005999199,0.0008157555,0.00401911,0.0002808595,0.001569945],"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":[0.001768351,0.01353035,0.5848654,0.002821737,0.002991948,0.0008796521,0.1349292,0.02812149,0.08414747,0.001804479,0.0781141,0.06602582],"study_design_scores_gemma":[0.0218446,0.005191073,0.120635,0.002830416,0.001832768,0.002662344,0.1173075,0.3467796,0.07745984,0.001958366,0.2884075,0.01309097],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259425,0.05962006,0.005239828,0.0008928193,0.0005155453,0.001833718,0.0006369962,0.001223549,0.004094925],"genre_scores_gemma":[0.972124,0.006155106,0.01611677,0.001299013,0.000246142,0.001683269,0.0003164003,0.0006011715,0.001458176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4642304,"threshold_uncertainty_score":0.9998938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307290074943058,"score_gpt":0.3088256200397128,"score_spread":0.2757527192902822,"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."}}