{"id":"W4393208508","doi":"10.25144/15925","title":"THE IMPACTS OF SCENE STABILITY AND ACOUSTIC BACKSCATTER COHERENCE ON AUTOMATED SEABED CHANGE DETECTION","year":2023,"lang":"en","type":"article","venue":"","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"Office of Naval Research","keywords":"Seabed; Backscatter (email); Coherence (philosophical gambling strategy); Remote sensing; Computer science; Geology; Acoustics; Oceanography; Physics; Telecommunications","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":[0.001563669,0.0002649364,0.0003300577,0.0007522642,0.0004624786,0.001046619,0.0002513274,0.0005838667,0.001120863],"category_scores_gemma":[0.01614092,0.0002920809,0.0002625165,0.0005978611,0.0006302909,0.001355898,0.0006885402,0.000458489,0.0003150846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003886414,"about_ca_system_score_gemma":0.0006405679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005702359,"about_ca_topic_score_gemma":0.008870001,"domain_scores_codex":[0.9989501,0.0002595402,0.00005091472,0.0001950581,0.0003588549,0.0001856075],"domain_scores_gemma":[0.9864224,0.01079657,0.0005549025,0.0004311739,0.001539356,0.0002555707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007339557,0.0005355646,0.2788693,0.0002286237,0.0004239878,0.0007325636,0.0005357112,0.1928923,0.2038668,0.001951765,0.001669868,0.3109539],"study_design_scores_gemma":[0.00006029792,0.0009339606,0.2749048,0.00001934688,0.0001940484,0.0006331567,0.0003578781,0.6762032,0.04493609,0.001048144,0.0006581472,0.00005087463],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797173,0.0002680164,0.01816651,0.0001363128,0.00002791634,0.000009790086,0.0001069853,0.0001226383,0.001444478],"genre_scores_gemma":[0.9969155,0.00006329507,0.002584411,0.0000234917,0.00001522815,0.000002329927,0.00009342075,0.00003006173,0.0002723171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005702359,"threshold_uncertainty_score":0.01133829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05824683090518299,"score_gpt":0.2868953921745599,"score_spread":0.2286485612693769,"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."}}