{"id":"W4323041869","doi":"10.18280/mmep.100104","title":"A Semi-Numerical Analysis of Observations in Passive Tag-to-Tag Communications","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"City University of New York","keywords":"Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001945885,0.0007289661,0.0005807066,0.0005085587,0.0003353722,0.0009547908,0.001062583,0.00112404,0.001232217],"category_scores_gemma":[0.009312067,0.0004933394,0.0006548461,0.0004720719,0.001705899,0.002183545,0.001337976,0.001552378,0.0003052854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006732502,"about_ca_system_score_gemma":0.0007537456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058885,"about_ca_topic_score_gemma":0.001061625,"domain_scores_codex":[0.9992843,0.0002790307,0.00002882564,0.00009478498,0.0002727295,0.00004039337],"domain_scores_gemma":[0.9938285,0.004720977,0.0005734354,0.0002495124,0.0005485702,0.00007905496],"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":[0.00005145877,0.00002529161,0.001271481,0.0001786322,0.00002449711,0.0001713698,0.0001917732,0.897119,0.004474774,0.08436781,0.0004451388,0.01167882],"study_design_scores_gemma":[0.000001196162,0.000006859841,0.00009544445,0.000005340733,0.00000183184,0.00001716586,0.000005506163,0.994073,0.0002707499,0.005339763,0.0001786323,0.000004510651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007608209,0.0002007125,0.9908758,0.0001335288,0.00001913794,0.00001227808,0.00002920003,0.00004904479,0.001072098],"genre_scores_gemma":[0.7893956,0.001356901,0.2002565,0.0001858562,0.0001317326,0.0003059382,0.0002840749,0.0001514368,0.007931939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002058885,"threshold_uncertainty_score":0.01029092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05935786266619623,"score_gpt":0.2536159987229601,"score_spread":0.1942581360567639,"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."}}