{"id":"W2318375775","doi":"10.4031/mtsj.46.2.4","title":"Advanced Interferometric Techniques for High-Resolution Bathymetry","year":2012,"lang":"en","type":"article","venue":"Marine Technology Society Journal","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Interferometry; Bathymetry; Sonar; Computer science; Remote sensing; Decorrelation; Algorithm; Optics; Geology; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003606071,0.0004716655,0.0002697925,0.001025617,0.000145662,0.0005018545,0.0003784612,0.0003741115,0.00247766],"category_scores_gemma":[0.0009965189,0.0001928511,0.0003147457,0.001391742,0.0004348599,0.0006606272,0.0006062672,0.0005241977,0.0008571073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001783874,"about_ca_system_score_gemma":0.0003275125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004906628,"about_ca_topic_score_gemma":0.0006542472,"domain_scores_codex":[0.9996789,0.00006862865,0.00001375245,0.0000489649,0.0001719357,0.00001791479],"domain_scores_gemma":[0.9995281,0.0002056107,0.00007494639,0.00007434848,0.0001044128,0.00001267148],"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":[0.00008791142,0.00006470755,0.001858163,0.0002339393,0.00007594442,0.0001126398,0.0001272042,0.04880626,0.2510395,0.02506385,0.002326398,0.6702034],"study_design_scores_gemma":[0.00003862988,0.000174472,0.008029011,0.00004026913,0.00004421308,0.000334538,0.00007130829,0.8804452,0.06993722,0.02079643,0.02004305,0.00004560193],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01502019,0.000542741,0.9823926,0.00009501681,0.00003918434,0.00001926176,0.00006616885,0.0005522999,0.001272612],"genre_scores_gemma":[0.238419,0.0005840773,0.7591491,0.00006380456,0.0001095069,0.00005471001,0.0001976797,0.00008788193,0.001334311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00247766,"threshold_uncertainty_score":0.008288562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592823371858595,"score_gpt":0.263146618188759,"score_spread":0.2472183844701731,"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."}}