{"id":"W4386108823","doi":"10.1007/978-3-031-38044-0_7","title":"Multi-Hop Wi-Fi Backscatter","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Backscatter (email); Computer science; Network packet; Hop (telecommunications); Computer network; Internet of Things; The Internet; Channel (broadcasting); Real-time computing; Wireless; Telecommunications; Embedded system","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":[0.0001077657,0.0004716213,0.0002888556,0.0004438594,0.000255145,0.0008186712,0.0005977859,0.0005990623,0.01770332],"category_scores_gemma":[0.0001816513,0.0002723981,0.0001981541,0.0008151563,0.0002724997,0.00101533,0.0005703502,0.0006986031,0.01016441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000197465,"about_ca_system_score_gemma":0.0001338931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001524417,"about_ca_topic_score_gemma":0.0006206766,"domain_scores_codex":[0.9999039,0.000006932497,0.0000028886,0.00001604055,0.00006373826,0.00000651056],"domain_scores_gemma":[0.9999208,0.00003966409,0.00000391204,0.00001236082,0.00002026095,0.000002974194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004742786,0.000070047,0.0001484902,0.000524357,0.00002216415,0.0002152055,0.0001504734,0.006645985,0.06961945,0.0846195,0.05410559,0.7838312],"study_design_scores_gemma":[0.00001032463,0.0001200722,0.001055532,0.0003740177,0.00003573503,0.002136884,0.0001260195,0.03081882,0.045664,0.04774486,0.8718635,0.00005023928],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005023396,0.02756744,0.4740472,0.0007500554,0.002597934,0.00008771374,0.0002202591,0.0009888153,0.4887172],"genre_scores_gemma":[0.03773111,0.02144432,0.06032876,0.0005840415,0.0005070008,0.00006147662,0.0002678283,0.0002294211,0.8788461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01770332,"threshold_uncertainty_score":0.05922353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729008141218598,"score_gpt":0.2143879231719866,"score_spread":0.1870978417598007,"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."}}