{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001220532,0.001278247,0.001797013,0.0003522888,0.002292663,0.0007833194,0.004011598,0.001467271,0.001555917],"category_scores_gemma":[0.0004285286,0.001137203,0.0005699001,0.003145364,0.001365732,0.0009987176,0.0008762795,0.002456233,0.0002653405],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902538,"about_ca_system_score_gemma":0.01187439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9097944,"about_ca_topic_score_gemma":0.9943671,"domain_scores_codex":[0.9910551,0.00189874,0.001018561,0.002117289,0.002143941,0.00176641],"domain_scores_gemma":[0.9924974,0.0006889493,0.001630004,0.003391922,0.0008403937,0.0009512632],"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":[0.000543841,0.0003315185,0.2090474,0.0001751956,0.0004305315,0.0005923318,0.0003309039,0.00007050197,0.0003496044,0.000002062016,0.7880346,0.00009154736],"study_design_scores_gemma":[0.002534964,0.0001253353,0.4243183,0.002160731,0.0003082666,0.000006794524,0.0009826075,0.0001820604,0.0001377461,0.000004498212,0.5683089,0.0009297853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.4243886,0.0002592246,8.483906e-7,0.0005262378,0.0004480536,0.001861028,0.5721959,0.00009365672,0.0002264855],"genre_scores_gemma":[0.06026079,0.0002344116,0.0004675404,0.001422144,0.0003430886,0.00002845604,0.9286671,0.0003656245,0.008210899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3641278,"threshold_uncertainty_score":0.999997,"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."}}