{"id":"W4221076898","doi":"10.3389/fmars.2022.806452","title":"The Oceans 2.0/3.0 Data Management and Archival System","year":2022,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; University of Victoria","funders":"Natural Resources Canada; Fisheries and Oceans Canada; Canarie; Canada Foundation for Innovation; Government of Canada; Transport Canada; University of Victoria","keywords":"Metadata; Context (archaeology); Ocean observations; Data management; Computer science; Metadata management; World Wide Web; Data science; Environmental resource management; Environmental science; Oceanography; Database; Geography; Geology; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006915166,0.0009217291,0.001075305,0.005433541,0.001657124,0.006652582,0.003278246,0.0009740716,0.01536839],"category_scores_gemma":[0.01332279,0.001148908,0.0007298437,0.005591868,0.001390302,0.0045871,0.007543456,0.002433628,0.0226606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003071177,"about_ca_system_score_gemma":0.01111271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03407636,"about_ca_topic_score_gemma":0.01590726,"domain_scores_codex":[0.9953928,0.0004445231,0.0006265424,0.0007069408,0.00227544,0.000553744],"domain_scores_gemma":[0.9895091,0.0008040007,0.0006230208,0.004085617,0.003837509,0.001140654],"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":[0.0006561349,0.000157475,0.01605765,0.0005797205,0.0001589424,0.0003663198,0.002124014,0.002153679,0.009836468,0.03714695,0.672766,0.2579967],"study_design_scores_gemma":[0.00010235,0.00004589433,0.006282501,0.0002033844,0.00005245812,0.0001976685,0.0004938559,0.008834351,0.008858744,0.01043581,0.9643192,0.0001738516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01923321,0.0009393491,0.2920512,0.002282607,0.0008513515,0.002565072,0.1242895,0.4027308,0.155057],"genre_scores_gemma":[0.1251782,0.001527056,0.3581065,0.002872984,0.0006836426,0.003450721,0.3683048,0.05859511,0.08128095],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03407636,"threshold_uncertainty_score":0.06775606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06481152374119725,"score_gpt":0.3252679035398865,"score_spread":0.2604563797986893,"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."}}