{"id":"W6908273710","doi":"10.26022/ieda/330274","title":"Processed bathymetry data (netCDF grids) acquired near-bottom in 2017 on the continental slope of the Canadian Beaufort Sea with MBARI mapping AUV on several Arctic Ocean missions","year":2021,"lang":"en","type":"dataset","venue":"LDEO - Lamont-Doherty Earth Observatory, Columbia University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Sonar; Nautical mile; Arctic; Beaufort sea; Seabed; NetCDF; Continental shelf; Remotely operated underwater vehicle","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":[0.0004628047,0.001178831,0.0006085887,0.003315327,0.001448346,0.001270152,0.001864941,0.0006423071,0.01497977],"category_scores_gemma":[0.001895156,0.0004216451,0.0005620838,0.006562083,0.0004213067,0.0004722909,0.001268923,0.0008857922,0.0124205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006241312,"about_ca_system_score_gemma":0.01191366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9333279,"about_ca_topic_score_gemma":0.972209,"domain_scores_codex":[0.9992996,0.00003004966,0.00002925689,0.0001316165,0.000314432,0.0001949772],"domain_scores_gemma":[0.9980926,0.00007473257,0.00009372527,0.000202231,0.00137722,0.000159421],"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":[0.00008076215,0.00003326017,0.01565196,0.00029659,0.00006818142,0.00007249739,0.000175179,0.001006423,0.000456548,0.0005739678,0.9729892,0.008595496],"study_design_scores_gemma":[0.00008872427,0.00001335905,0.1351622,0.000313218,0.00004179359,0.00007834027,0.0007979734,0.00154875,0.001273116,0.0004166463,0.8601979,0.00006799107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001852166,0.00004038512,0.00009811511,0.00003562791,0.00001960304,0.0000167667,0.9963626,0.0001622023,0.00141249],"genre_scores_gemma":[0.002945308,0.00003006649,0.0004113066,0.00001515416,0.000002865422,0.00003314001,0.9953869,0.00003649875,0.001138813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06667215,"threshold_uncertainty_score":0.1341295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04034304006723735,"score_gpt":0.2174235011846911,"score_spread":0.1770804611174537,"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."}}