{"id":"W6927271621","doi":"10.26022/ieda/329971","title":"Processed swath bathymetry and acoustic backscatter data acquired near-bottom in 2016 from the continental slope of the Canadian Beaufort Sea with MBARI mapping AUV on mission 20161001m2","year":2021,"lang":"en","type":"dataset","venue":"LDEO - Lamont-Doherty Earth Observatory, Columbia University","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Sonar; Backscatter (email); Continental shelf; Seabed; Remotely operated underwater vehicle; Cruise; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005866438,0.001215546,0.0006174975,0.002864551,0.001282385,0.001125668,0.001989241,0.0007209696,0.01278581],"category_scores_gemma":[0.001943492,0.0004223774,0.0005821444,0.005502754,0.0003768862,0.0004444916,0.001241611,0.0008167879,0.01240352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005658186,"about_ca_system_score_gemma":0.011086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8837306,"about_ca_topic_score_gemma":0.9511845,"domain_scores_codex":[0.9993778,0.00002802245,0.00003347387,0.0001245876,0.0002621391,0.0001738816],"domain_scores_gemma":[0.9983813,0.00007547165,0.00009068603,0.0001779338,0.001108595,0.0001659795],"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":[0.0001415093,0.00004853853,0.01721614,0.000475616,0.00009235879,0.0001000937,0.000155846,0.0009248056,0.00060145,0.0005934383,0.970464,0.009186267],"study_design_scores_gemma":[0.0001171735,0.00001988623,0.1442856,0.000347462,0.00005423235,0.00008589988,0.0005493277,0.001152238,0.001207014,0.0004368547,0.851678,0.0000661583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00157256,0.0000437287,0.00006175575,0.00002793781,0.00001209862,0.00001563309,0.9971843,0.000101873,0.0009800517],"genre_scores_gemma":[0.001720094,0.00002542829,0.0002354283,0.00001386629,0.000002152143,0.00002975858,0.9971003,0.0000189226,0.000853947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1162694,"threshold_uncertainty_score":0.2339081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598729516859816,"score_gpt":0.1855039914339102,"score_spread":0.169516696265312,"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."}}