{"id":"W3200770675","doi":"10.1109/mwscas47672.2021.9531725","title":"An Energy Harvesting Solution for IoT Sensors","year":2021,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Energy harvesting; Internet of Things; Computer science; Wireless sensor network; Energy (signal processing); Embedded system; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009775483,0.0002218765,0.0001734455,0.0002042843,0.0001754355,0.0003649695,0.0004777327,0.000458881,0.002074961],"category_scores_gemma":[0.000150017,0.000138191,0.0001672333,0.0002608723,0.0001282085,0.0005912213,0.0002465954,0.0004077432,0.00101397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002049811,"about_ca_system_score_gemma":0.000148393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008070639,"about_ca_topic_score_gemma":0.0002003293,"domain_scores_codex":[0.9998907,0.000007042005,0.000005023726,0.00002040203,0.00006959714,0.000007280941],"domain_scores_gemma":[0.9999586,0.000006281601,0.000006285604,0.000004254707,0.00002010964,0.000004415866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000063003,0.00006634546,0.0002143399,0.0003382388,0.00002009417,0.0002301181,0.00007586824,0.001795079,0.8696216,0.009893807,0.005112128,0.1125695],"study_design_scores_gemma":[0.00003199896,0.0005699437,0.001050455,0.0001050718,0.00005237646,0.001406042,0.00009781956,0.05032201,0.774241,0.00695561,0.1651186,0.00004913641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1506397,0.01289455,0.7539629,0.002658771,0.001647744,0.0003561378,0.0003697657,0.002177642,0.07529297],"genre_scores_gemma":[0.7096982,0.006410276,0.2159785,0.001310465,0.0002290815,0.0002234333,0.0003371906,0.0001222669,0.06569051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002074961,"threshold_uncertainty_score":0.006941438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302869566899454,"score_gpt":0.220941286138995,"score_spread":0.2079125904700004,"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."}}