{"id":"W6927119046","doi":"10.26022/ieda/330018","title":"Raw MVC logs data acquired near-bottom in 2016 from the continental slope of the Canadian Beaufort Sea with MBARI mapping AUV on mission 20160927m1","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; Seabed; Geological survey; Raw data; Remotely operated underwater vehicle; Continental shelf; Beaufort scale","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001504209,0.001160218,0.001732693,0.000294018,0.002148064,0.0006288302,0.007641668,0.001345867,0.001977278],"category_scores_gemma":[0.0005706551,0.001040955,0.0004210028,0.002458692,0.001499809,0.001105806,0.002720196,0.002371297,0.0003872678],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707953,"about_ca_system_score_gemma":0.009997808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9592206,"about_ca_topic_score_gemma":0.9971647,"domain_scores_codex":[0.9904976,0.002323378,0.0009792037,0.002503366,0.001997549,0.001698873],"domain_scores_gemma":[0.9885135,0.0006726538,0.001437481,0.007822049,0.0006069849,0.0009473014],"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":[0.0004572723,0.0002813602,0.1812439,0.00007656762,0.0004770028,0.0008385034,0.0001615241,0.00006198402,0.00008118026,0.000002490368,0.8161942,0.0001239822],"study_design_scores_gemma":[0.002410025,0.00009115579,0.3819338,0.001395725,0.0003502556,0.000008095206,0.0005869434,0.0003515251,0.00001207652,0.000003540323,0.612058,0.0007988475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.199003,0.0003203705,0.000001376213,0.0008486025,0.00094973,0.002062487,0.7963393,0.00008877356,0.0003863208],"genre_scores_gemma":[0.0159311,0.0001747508,0.0002733024,0.001135039,0.0002959211,0.000006487976,0.9747041,0.0002284942,0.007250837],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2041362,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03623649310655374,"score_gpt":0.2107811831478242,"score_spread":0.1745446900412705,"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."}}