{"id":"W3118165243","doi":"10.1364/acpc.2020.m4a.70","title":"Precoding Probabilistically Shaped DMT Transmission for Underwater Optical Wireless Communication","year":2020,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Underwater; Transmission (telecommunications); Computer science; Quadrature amplitude modulation; Underwater acoustic communication; Wireless; Electronic engineering; Optical wireless; Sensitivity (control systems); Telecommunications; Decoding methods; Engineering; Bit error rate; MIMO; Channel (broadcasting); Geology","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":[0.0003345738,0.0004116406,0.0002958931,0.0002063843,0.0002924619,0.0003240967,0.0004064527,0.0003952248,0.0009474845],"category_scores_gemma":[0.001420184,0.0001868349,0.0001777402,0.0003121959,0.0006271896,0.0004791572,0.0005280647,0.0003696624,0.0003017951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004382371,"about_ca_system_score_gemma":0.0004885414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000453403,"about_ca_topic_score_gemma":0.000827013,"domain_scores_codex":[0.9995713,0.00009128824,0.00001758214,0.00006271067,0.000221027,0.00003606757],"domain_scores_gemma":[0.9992182,0.0002162264,0.0002142156,0.0000985443,0.0002176334,0.00003520044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005865102,0.00006554817,0.001904667,0.0002410112,0.00006713434,0.000650636,0.0002273497,0.1048704,0.7963747,0.03013002,0.000846856,0.06403514],"study_design_scores_gemma":[0.00004599527,0.0005396007,0.001063701,0.00003706791,0.00004235227,0.001015031,0.00006065918,0.577612,0.4055767,0.009712497,0.00420953,0.0000847807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2714336,0.0004705448,0.7172039,0.0007182629,0.000112098,0.0001045996,0.0001836807,0.0004191163,0.009354301],"genre_scores_gemma":[0.9196413,0.0001940487,0.07791287,0.0001676092,0.00002763563,0.00003771421,0.00005144353,0.00002854545,0.001938946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009474845,"threshold_uncertainty_score":0.003179669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03679536321719347,"score_gpt":0.2435862104670573,"score_spread":0.2067908472498638,"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."}}