{"id":"W6945705041","doi":"10.26022/ieda/330009","title":"Map of processed bathymetry data with AUV navigation track line for data acquired near-bottom in 2016 from the continental slope of the Canadian Beaufort Sea with MBARI mapping AUV on mission 20160929m2","year":2021,"lang":"en","type":"other","venue":"LDEO - Lamont-Doherty Earth Observatory, Columbia University","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Cruise; Beaufort sea; Seabed; Remotely operated underwater vehicle; Track (disk drive); Continental shelf; Geological survey; Echo sounding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000426568,0.0003156455,0.0005266552,0.00006080955,0.0002129368,0.00007750376,0.002044143,0.0004642062,0.0002129009],"category_scores_gemma":[0.00007378731,0.0002600954,0.0001032562,0.0003362296,0.0003392134,0.00004432122,0.0005664442,0.0002695196,9.810552e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007298893,"about_ca_system_score_gemma":0.001718593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4332608,"about_ca_topic_score_gemma":0.9340806,"domain_scores_codex":[0.9977933,0.0002125089,0.0003155385,0.000983438,0.0003683189,0.0003268889],"domain_scores_gemma":[0.9961477,0.00005677906,0.0006129659,0.002820488,0.0002322407,0.0001298393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008269964,0.0004422546,0.3416442,0.0005493411,0.001234669,0.00007273637,0.0001639014,0.00002471672,0.02611262,0.000002808798,0.6268225,0.002103317],"study_design_scores_gemma":[0.002814692,0.0003989791,0.0974806,0.002387285,0.0005519968,0.000003106417,0.000645399,0.002114928,0.0106016,0.0000039572,0.8822603,0.0007371897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719712,0.002431353,0.001326625,0.001171692,0.0001866264,0.004760896,0.01142249,0.00008942277,0.006639663],"genre_scores_gemma":[0.6407034,0.0005110932,0.01930158,0.0008355166,0.0004839381,0.00001834789,0.09114824,0.0005968331,0.246401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5008199,"threshold_uncertainty_score":0.9999851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489752215913079,"score_gpt":0.231937567391637,"score_spread":0.2070400452325062,"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."}}