{"id":"W4367169823","doi":"10.5281/zenodo.7871806","title":"Exploring the Effects of Acoustic Frequency on Terrain Attributes and Classifications Derived from Digital Bathymetric Models at Multiple Scales","year":2023,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Université du Québec à Chicoutimi","funders":"","keywords":"Bathymetry; Terrain; Computer science; Digital elevation model; Remote sensing; Geology; Geography; Oceanography; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009905215,0.0003257484,0.0001534264,0.0007427474,0.0002334682,0.0009189506,0.0001869153,0.0001315498,0.0007476809],"category_scores_gemma":[0.004625949,0.0001583145,0.0002881775,0.0009761624,0.0003746568,0.0003752563,0.0004273714,0.0002567025,0.0002675772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005875693,"about_ca_system_score_gemma":0.0005751788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1164102,"about_ca_topic_score_gemma":0.2351566,"domain_scores_codex":[0.9994494,0.0001499283,0.00002507281,0.0001089743,0.0002056036,0.00006105049],"domain_scores_gemma":[0.9969651,0.001582721,0.0004050733,0.0003386598,0.0006297816,0.00007865385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002857336,0.00005738981,0.855517,0.0001183999,0.0002159722,0.0002589769,0.001210341,0.03541316,0.03163214,0.0003831273,0.0007002067,0.07420755],"study_design_scores_gemma":[0.00000527421,0.00003418094,0.9686841,0.00001338194,0.00003317509,0.0000505402,0.0006163634,0.02720344,0.002502526,0.0001406064,0.0007009849,0.00001537664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894079,0.00005144476,0.007896293,0.00003101361,0.000007607311,0.00002066433,0.0006831368,0.00005171507,0.001850214],"genre_scores_gemma":[0.992238,0.00005731131,0.006330241,0.000008553751,0.000002355777,0.000008042965,0.001039849,0.00003442864,0.0002813058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1164102,"threshold_uncertainty_score":0.2314652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023437596032794,"score_gpt":0.2292495708440602,"score_spread":0.1269058112407808,"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."}}