{"id":"W4376096193","doi":"10.36227/techrxiv.20220120.v1","title":"DD Interference Channel","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interference (communication); Topology (electrical circuits); Channel (broadcasting); Context (archaeology); Gaussian; Channel capacity; Optical wireless; Wireless; Power (physics); Expression (computer science); Mathematics; Computer science; Physics; Combinatorics; Telecommunications; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005944343,0.0001537073,0.000173673,0.000105983,0.0000309898,0.00003783485,0.001246411,0.0001713999,0.001233962],"category_scores_gemma":[0.00003841483,0.0001598252,0.00005389963,0.00008707104,0.00004262773,0.00002429432,0.003532608,0.001173029,0.00009843341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110992,"about_ca_system_score_gemma":0.0000110943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001077763,"about_ca_topic_score_gemma":0.000005889144,"domain_scores_codex":[0.9994157,0.00001284238,0.0001755218,0.0001598951,0.00009117783,0.0001448748],"domain_scores_gemma":[0.9987615,0.00005154634,0.00002010292,0.001124782,0.00001762222,0.00002448386],"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":[0.00001048036,0.0001910414,0.0001651984,0.001252123,0.0004840876,0.00001958358,0.001068412,0.5066555,0.0009664542,0.2483725,0.03827563,0.202539],"study_design_scores_gemma":[0.0002093504,0.00006746347,0.0005384195,0.0001877736,0.00002369321,0.000004655497,0.001499417,0.842038,0.01663725,0.08605789,0.05112658,0.001609492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03349394,0.006096797,0.1217963,0.002399993,0.002706151,0.000668678,0.00007240909,0.02226907,0.8104967],"genre_scores_gemma":[0.9930365,0.001495181,0.004564931,0.00002629581,0.00001257165,0.0002308954,0.00002949588,0.00003171424,0.0005723926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9595426,"threshold_uncertainty_score":0.999679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327355428445101,"score_gpt":0.2525022729902044,"score_spread":0.2197667301456943,"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."}}