{"id":"W3149930999","doi":"","title":"Acoustic propagation in an Arctic shallow-water environment","year":2003,"lang":"en","type":"article","venue":"Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492)","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Geology; Waves and shallow water; Transmission loss; Seabed; Hydrophone; Broadband; Acoustics; Channel (broadcasting); Permafrost; Remote sensing; Seismology; Oceanography; Telecommunications; Engineering","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":[0.0001695583,0.0002268573,0.0001440068,0.0001908723,0.0003106546,0.00030572,0.0001095145,0.0001674954,0.0001909916],"category_scores_gemma":[0.0003228656,0.0001250347,0.00008787686,0.0002049021,0.0002369518,0.0001813531,0.0002322701,0.000169556,0.0001024695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756886,"about_ca_system_score_gemma":0.0003437105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01797905,"about_ca_topic_score_gemma":0.01701593,"domain_scores_codex":[0.9999213,0.00001678748,0.000002304223,0.00001032991,0.00003444395,0.00001479795],"domain_scores_gemma":[0.9998585,0.00004994757,0.00001886923,0.000007062493,0.00004815171,0.00001743256],"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":[0.001316583,0.0001455455,0.08590344,0.0001416805,0.00004816922,0.002001331,0.001389026,0.122858,0.7326189,0.001048639,0.000500267,0.05202844],"study_design_scores_gemma":[0.0001338574,0.003505742,0.1713621,0.00005028146,0.0002030887,0.001262399,0.003063347,0.5076184,0.3067681,0.002096387,0.003808245,0.0001279264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965238,0.00002508254,0.002906219,0.00001435006,0.000003287128,0.000002801921,0.00003535303,0.00002273352,0.0004662137],"genre_scores_gemma":[0.9975592,0.0001322441,0.001822071,0.000008345269,0.000003153894,0.00000315053,0.00004712553,0.000004397866,0.0004203166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01797905,"threshold_uncertainty_score":0.03574884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494919874359457,"score_gpt":0.2186759484395238,"score_spread":0.2037267496959292,"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."}}