{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000679678,0.0009638077,0.0008548044,0.000890612,0.0007329838,0.001935568,0.000956493,0.0009980059,0.006263212],"category_scores_gemma":[0.003430569,0.0002768541,0.0003848721,0.001168448,0.001498502,0.001596297,0.002044197,0.001174784,0.001181411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041134,"about_ca_system_score_gemma":0.0008698874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405292,"about_ca_topic_score_gemma":0.0007313905,"domain_scores_codex":[0.998662,0.0002493458,0.0000517724,0.0002491397,0.0004203377,0.0003673593],"domain_scores_gemma":[0.9975369,0.001279365,0.0002882179,0.0003995542,0.0004150756,0.00008083809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004206062,0.0001091942,0.001176263,0.0005365378,0.0000658381,0.0008114649,0.0002196467,0.1618005,0.01774789,0.7483708,0.01062279,0.05811855],"study_design_scores_gemma":[0.0000545304,0.0001124174,0.0006006762,0.00007068323,0.00005451039,0.001279131,0.0001013868,0.8286642,0.01724417,0.1321622,0.01956522,0.00009087408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06249705,0.003218117,0.8403156,0.0008007445,0.0006030006,0.000135626,0.0009669845,0.0006753486,0.09078757],"genre_scores_gemma":[0.9558858,0.00198398,0.02725241,0.000620875,0.0003734567,0.0001802739,0.0003232936,0.00007626219,0.0133037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006263212,"threshold_uncertainty_score":0.02095258,"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."}}