{"id":"W6950267099","doi":"10.5285/6aae1d3a-8c1e-41a3-9056-55e66b602346","title":"Water column acoustic data collected from 2009-12-12 to 2009-12-19 during cruise JR230 in the Scotia Sea","year":2017,"lang":"en","type":"dataset","venue":"NERC Environmental Data Service","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Cruise; Water column; Nova scotia; Echo sounding; Volume (thermodynamics); Data processing","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","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007266746,0.0007279218,0.0007175798,0.0001667367,0.0006550423,0.0007011808,0.01043703,0.0004069303,0.0161371],"category_scores_gemma":[0.00006364172,0.0005384425,0.00005375466,0.0001473841,0.00009567203,0.001261681,0.004013604,0.0008621155,0.01125033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004939151,"about_ca_system_score_gemma":0.0001131358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4123667,"about_ca_topic_score_gemma":0.9299104,"domain_scores_codex":[0.9948714,0.0004103101,0.0007448197,0.001910414,0.001058381,0.001004618],"domain_scores_gemma":[0.9907259,0.0002095322,0.0002807325,0.008355182,0.000007204121,0.0004213894],"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":[0.0001772027,0.0001361809,0.01979263,0.0002217196,0.00008070984,0.0003626629,0.0001151449,0.0005163265,0.00009827858,4.257071e-9,0.9780622,0.0004368991],"study_design_scores_gemma":[0.0007504009,0.00007586188,0.1776516,0.0001391605,0.0001726856,0.00006387136,0.000321754,0.003802308,0.000008648459,0.000003258048,0.816329,0.0006814266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05626029,0.0003302556,0.000002372605,0.0003459711,0.0007533368,0.001202648,0.9405602,0.0000285496,0.0005163334],"genre_scores_gemma":[0.0191869,0.0005460934,0.00005203277,0.002558577,0.0006773132,0.00001000288,0.9762069,0.00002662813,0.0007355865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5175437,"threshold_uncertainty_score":0.9997067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972597646245059,"score_gpt":0.2255073647667252,"score_spread":0.1957813883042746,"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."}}