{"id":"W2291519877","doi":"10.1109/nemo.2015.7415051","title":"Modeling and influence of matching network insertion losses on ambient microwave power harvester","year":2015,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Insertion loss; Microwave; Matching (statistics); Power (physics); Electrical engineering; Microwave transmission; Computer science; Electronic engineering; Telecommunications; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001818154,0.0001418009,0.0001543835,0.00004532418,0.00002657838,0.00006164547,0.00008298875,0.00008205172,0.000001807249],"category_scores_gemma":[0.00002779908,0.0001339809,0.00002059759,0.0001085517,0.00002693562,0.0003565841,0.0000447736,0.0001480486,0.000004852146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003743956,"about_ca_system_score_gemma":0.000009858441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000949754,"about_ca_topic_score_gemma":0.00006915712,"domain_scores_codex":[0.9992189,0.00002179108,0.0002498093,0.0001501082,0.0001402126,0.0002191847],"domain_scores_gemma":[0.9995794,0.0000482909,0.00002782233,0.0001798734,0.00006983745,0.00009472713],"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":[0.00001017325,0.000008020795,0.00125515,0.00002374474,0.00001276594,0.000001999754,0.0002039191,0.9936641,0.003114353,0.001363961,0.0001084032,0.0002334068],"study_design_scores_gemma":[0.0002912929,0.0000685491,0.003702345,0.0004391274,0.000009750817,0.00000952049,0.00007042646,0.9899252,0.003938961,0.001180636,0.0001020402,0.0002621653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9089535,0.0001802768,0.08881554,0.00001399671,0.000160576,0.0000532684,4.690225e-7,0.0001659347,0.001656464],"genre_scores_gemma":[0.9944028,0.00002879184,0.005248258,0.0001205003,0.00006592509,0.000004912687,0.000002322293,0.00003314059,0.00009332667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08544935,"threshold_uncertainty_score":0.5463584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489990486346164,"score_gpt":0.2107719026473558,"score_spread":0.1958719977838942,"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."}}