{"id":"W4392533407","doi":"","title":"Estimation of bathymetry using earth observation for marine renewable energies","year":2018,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Bathymetry; Earth (classical element); Renewable energy; Remote sensing; Oceanography; Environmental science; Geography; Geology; Engineering; Physics; Astronomy; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007558645,0.000418944,0.0005030876,0.0001153669,0.0001970349,0.00008630616,0.000527354,0.0002061064,0.002830376],"category_scores_gemma":[0.0001933336,0.0004203291,0.0002170857,0.0003161863,0.0003640453,0.0003741926,0.007241559,0.0001450094,0.0001404924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002810471,"about_ca_system_score_gemma":0.0000382186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07032456,"about_ca_topic_score_gemma":0.00310288,"domain_scores_codex":[0.9975474,0.00009624768,0.0006701406,0.0006843703,0.0005191177,0.0004826971],"domain_scores_gemma":[0.9983484,0.0001653745,0.0005544664,0.0007649314,0.00006092362,0.0001058781],"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":[0.00009713847,0.0002940564,0.005112381,0.0007833349,0.0001169295,0.000002030997,0.0005747724,0.6050547,0.009829056,0.02049475,0.0003734541,0.3572673],"study_design_scores_gemma":[0.0009248568,0.0004307605,0.05587943,0.0006162547,0.0004840493,0.000006310068,0.000697791,0.708145,0.05986063,0.07312206,0.09886101,0.0009718566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7816118,0.00008871354,0.1043166,0.0005200712,0.001379166,0.001545182,0.0001319039,0.00009004059,0.1103165],"genre_scores_gemma":[0.8880889,0.0003253353,0.1032764,0.0000774569,0.0002734118,0.00007913986,0.0002342749,0.00005249885,0.007592522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3562955,"threshold_uncertainty_score":0.9998249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04076382750981086,"score_gpt":0.2606962382858417,"score_spread":0.2199324107760308,"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."}}