{"id":"W2117561906","doi":"10.23919/oceans.2009.5422434","title":"Reproducibility of single-beam acoustic seabed classification","year":2009,"lang":"en","type":"article","venue":"","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Quest University Canada","funders":"","keywords":"Seabed; Reproducibility; Ground truth; Ranking (information retrieval); Computer science; Standard deviation; Echo sounding; Confusion; Echo (communications protocol); Geology; Remote sensing; Pattern recognition (psychology); Artificial intelligence; Statistics; Mathematics; Oceanography","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":[0.0186157,0.0006683739,0.0009132195,0.002213328,0.001072613,0.002292656,0.001222487,0.0006000229,0.001277333],"category_scores_gemma":[0.04950608,0.0004712445,0.0008106325,0.001991792,0.001309221,0.001377086,0.001881359,0.0006077561,0.001413437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006176308,"about_ca_system_score_gemma":0.0004626402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004900906,"about_ca_topic_score_gemma":0.01022438,"domain_scores_codex":[0.9801791,0.005783602,0.002194272,0.00505732,0.005996584,0.0007891345],"domain_scores_gemma":[0.9390901,0.02274342,0.004988696,0.01500425,0.01759322,0.0005802672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001244814,0.0001305033,0.7510816,0.0006154702,0.001014535,0.0002495997,0.003816648,0.01050349,0.05673698,0.000770312,0.00464605,0.16919],"study_design_scores_gemma":[0.00002606903,0.0002632512,0.9284024,0.00009069495,0.000247496,0.0003706725,0.001823202,0.02322892,0.03549286,0.001592717,0.008331673,0.0001299244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193674,0.0005416231,0.06726591,0.0001935243,0.0002635007,0.0001591754,0.003481655,0.0008787899,0.007848451],"genre_scores_gemma":[0.9801661,0.00008757775,0.01474009,0.00006558482,0.00002985312,0.0001159522,0.002901729,0.0003011613,0.001591883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0186157,"threshold_uncertainty_score":0.09845042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07280081023419054,"score_gpt":0.2845272917011075,"score_spread":0.211726481466917,"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."}}