{"id":"W3133183386","doi":"10.25607/obp-771","title":"International list of Voluntary Observing Ships Metadata fields & descriptions, exchange formats and code tables. Metadata Format Version 04. (Document Revision 4.2) .","year":2017,"lang":"en","type":"article","venue":"IOC of UNESCO (Intergovernmental Oceanographic Commission)","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Computer science; Metadata repository; Information retrieval; World Wide Web; Geospatial metadata; Database; Meta Data Services; Database catalog; Code (set theory); Set (abstract data type); Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003923059,0.001600062,0.001062301,0.008140302,0.002129072,0.004699184,0.002383339,0.001345418,0.3755351],"category_scores_gemma":[0.01130792,0.001137493,0.0006374071,0.01581161,0.0008244358,0.005318233,0.003084182,0.002394702,0.4194745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003035641,"about_ca_system_score_gemma":0.008005369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02459553,"about_ca_topic_score_gemma":0.01502486,"domain_scores_codex":[0.9971425,0.0002969573,0.0005123892,0.0003418088,0.001427052,0.000279208],"domain_scores_gemma":[0.9873466,0.001148474,0.0009714835,0.002379599,0.00730339,0.0008505547],"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":[0.00004500179,0.00003263283,0.000575841,0.0002992902,0.000004449288,0.00002950144,0.0001411477,0.0000983689,0.0006897171,0.003378292,0.957774,0.03693186],"study_design_scores_gemma":[0.000007242186,0.00001345458,0.001176003,0.0001076581,0.000003320306,0.00003088428,0.00008293295,0.00004068518,0.0002569838,0.0006722895,0.997596,0.00001253283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001472018,0.001331864,0.017437,0.001529015,0.003130356,0.001914499,0.6315792,0.006553694,0.3350523],"genre_scores_gemma":[0.002589338,0.001779281,0.02021103,0.0006799035,0.0003403675,0.002073302,0.7104569,0.003965634,0.2579042],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3755351,"threshold_uncertainty_score":0.8907234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593571813377609,"score_gpt":0.2494362929076175,"score_spread":0.2235005747738414,"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."}}