{"id":"W6908477548","doi":"10.26022/ieda/330228","title":"Raw sidescan and sub-bottom data acquired near-bottom in 2017 from the continental slope of the Canadian Beaufort Sea with MBARI mapping AUV on mission 20170910m1","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":"Cruise; Beaufort sea; Raw data; Geological survey; Remotely operated underwater vehicle; Marine research","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":[0.0005590621,0.001572845,0.0007596781,0.003350338,0.001885581,0.001747808,0.002291054,0.0009690888,0.01272556],"category_scores_gemma":[0.001717077,0.000534924,0.000791902,0.006254618,0.0006148496,0.0006523799,0.001480988,0.001133806,0.01539767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006673541,"about_ca_system_score_gemma":0.01419646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9309179,"about_ca_topic_score_gemma":0.9732375,"domain_scores_codex":[0.9990884,0.00003229249,0.0000320115,0.0001706903,0.00041838,0.0002582093],"domain_scores_gemma":[0.9981396,0.00006401313,0.0000715818,0.0002084647,0.001350499,0.000165795],"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":[0.0001216712,0.00004417094,0.01306181,0.0003104951,0.00009484551,0.00008982156,0.0001514146,0.0009448768,0.0007322626,0.0004785759,0.9752076,0.008762557],"study_design_scores_gemma":[0.00010807,0.0000162108,0.1136052,0.0003589863,0.00006089673,0.0000826046,0.000774945,0.001602497,0.001619623,0.0004835581,0.8811903,0.00009708929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002407011,0.00009424325,0.0001150598,0.00005994953,0.00003234941,0.00002006396,0.9951331,0.0003172509,0.001821012],"genre_scores_gemma":[0.002637864,0.00004452111,0.0003829151,0.00002396193,0.000004217444,0.00002837547,0.99559,0.00005551829,0.001232712],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06908214,"threshold_uncertainty_score":0.1389779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03897578434878343,"score_gpt":0.2147350283888946,"score_spread":0.1757592440401112,"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."}}