{"id":"W6889772853","doi":"10.26022/ieda/317439","title":"Processed ship-based Multibeam Sonar Data (version 2) acquired in the eastern South Pacific Ocean during the Knorr expedition KN182-12 (2006)","year":2011,"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":"Sonar; Pacific ocean; Data set; Data processing; Indian ocean","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":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002664909,0.001563852,0.001463602,0.0006612108,0.002550608,0.0008972797,0.01005795,0.001474083,0.001221887],"category_scores_gemma":[0.0003096761,0.00157856,0.000514067,0.002422143,0.001158826,0.003144467,0.002068538,0.002244404,0.001955473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008653296,"about_ca_system_score_gemma":0.001400761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03879193,"about_ca_topic_score_gemma":0.2414132,"domain_scores_codex":[0.9880881,0.002887534,0.001130064,0.003220406,0.002532881,0.002141065],"domain_scores_gemma":[0.9887709,0.0005173897,0.001912833,0.007695228,0.0005248091,0.0005788109],"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":[0.001669523,0.001083381,0.08796287,0.0006910745,0.0002659365,0.0008411114,0.001622075,0.000048188,0.00005238206,0.000001534458,0.9056965,0.00006547777],"study_design_scores_gemma":[0.006217774,0.0002714614,0.1787958,0.000708992,0.0007792488,0.00001852134,0.01050293,0.001368043,0.00002047764,0.00000935993,0.7993992,0.001908199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2957347,0.0001603389,0.000007463047,0.0001154867,0.0005753356,0.002959586,0.6998466,0.0004068232,0.0001936206],"genre_scores_gemma":[0.1451218,0.00007951511,0.0001202021,0.0003347324,0.0005283388,0.00002443643,0.8499877,0.0002799599,0.003523297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2026213,"threshold_uncertainty_score":0.9998222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04578041648021595,"score_gpt":0.2124377797487527,"score_spread":0.1666573632685368,"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."}}