{"id":"W6945968360","doi":"10.26022/ieda/329990","title":"Processed sub-bottom SEG-Y files acquired near-bottom in 2016 from the continental slope of the Canadian Beaufort Sea with MBARI mapping AUV on mission 20160927m2","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":"Beaufort sea; Cruise; Geological survey; Beaufort scale; Continental shelf; Remotely operated underwater vehicle; Seabed","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":[0.0004706281,0.001650042,0.0007436239,0.003189587,0.001430022,0.001508929,0.002096264,0.0009411998,0.01737109],"category_scores_gemma":[0.001811471,0.0004875486,0.0008283636,0.006036597,0.0004646777,0.0006270915,0.001402644,0.0009426703,0.01917788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004723311,"about_ca_system_score_gemma":0.009086617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8786241,"about_ca_topic_score_gemma":0.9488272,"domain_scores_codex":[0.9993758,0.00002594942,0.00003286194,0.0001352928,0.000254158,0.0001759994],"domain_scores_gemma":[0.9985443,0.00006701147,0.00006675416,0.0001879139,0.001014384,0.0001195199],"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":[0.0001035849,0.00002878073,0.008177199,0.0003267933,0.00007058853,0.00007131715,0.000102842,0.0007826247,0.0004849301,0.0003467349,0.981939,0.00756544],"study_design_scores_gemma":[0.000107068,0.00001481695,0.08705512,0.0003467609,0.00005202498,0.00008740224,0.0005828992,0.001459051,0.001202496,0.0005273407,0.9084844,0.00008066121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009043016,0.00005338902,0.00007153492,0.00003601078,0.00002035235,0.0000113868,0.9977951,0.0002375174,0.0008704736],"genre_scores_gemma":[0.00128018,0.00003270649,0.0002908713,0.00001315907,0.000002846331,0.00002167295,0.9974778,0.00004030878,0.0008404604],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1213759,"threshold_uncertainty_score":0.2441814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728045894016707,"score_gpt":0.1907864912283455,"score_spread":0.1735060322881785,"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."}}