{"id":"W4399886677","doi":"10.3390/jmse12071041","title":"Enhancing Few-Shot Prediction of Ocean Sound Speed Profiles through Hierarchical Long Short-Term Memory Transfer Learning","year":2024,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Term (time); Sound (geography); Environmental science; Computer science; Meteorology; Oceanography; Geology; Geography; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001658052,0.0001070768,0.0001879061,0.0003623122,0.0001195413,0.0002059662,0.0002152788,0.00003934498,0.0001388214],"category_scores_gemma":[0.0001528143,0.00008109705,0.00005281206,0.000502103,0.0001967909,0.0008844747,0.00004368618,0.0005173574,0.000001939297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002072567,"about_ca_system_score_gemma":0.0001723923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003976972,"about_ca_topic_score_gemma":0.00001860966,"domain_scores_codex":[0.9983404,0.0000223833,0.0003547708,0.0001742735,0.0007947833,0.0003133943],"domain_scores_gemma":[0.9994642,0.0001648473,0.00002230045,0.00006511822,0.0001344119,0.0001491099],"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":[0.00007000232,0.00002603015,0.2043775,0.00085802,0.00008589908,0.0002741921,0.003361284,0.5190614,0.2288684,0.00003090105,0.00002098843,0.04296544],"study_design_scores_gemma":[0.0002231329,0.000597833,0.2375451,0.0003863703,0.00005327047,0.000734718,0.0004180816,0.7254568,0.03399619,0.0003149829,0.00007713321,0.0001963458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96619,0.0002262271,0.03248613,0.00005745119,0.0003566576,0.0000653014,0.000004452245,0.00002236261,0.0005914582],"genre_scores_gemma":[0.9973415,0.0001910639,0.002171725,0.00000443951,0.000231422,7.621452e-8,0.000003165776,0.000005332425,0.00005130968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2063954,"threshold_uncertainty_score":0.3307042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226657143615833,"score_gpt":0.2487906585003193,"score_spread":0.226124944138736,"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."}}