{"id":"W2895795529","doi":"10.1121/1.5068550","title":"Adding value to big acoustic data from ocean observatories: Metadata, online processing, and a computing sandbox","year":2018,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society","funders":"","keywords":"Sandbox (software development); Upload; Terabyte; Computer science; Metadata; Big data; Data quality; Data processing; Database; World Wide Web; Service (business); Operating system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006882021,0.001020368,0.0006656398,0.002292906,0.002568303,0.008904636,0.002888576,0.001119026,0.009541565],"category_scores_gemma":[0.0172753,0.0009186884,0.0006804318,0.00464271,0.002551161,0.01601067,0.01134677,0.002959242,0.004737027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001879547,"about_ca_system_score_gemma":0.004683405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112704,"about_ca_topic_score_gemma":0.01558915,"domain_scores_codex":[0.9953342,0.000672111,0.0003272766,0.0004026865,0.002860018,0.0004036951],"domain_scores_gemma":[0.9816828,0.003805887,0.000531416,0.007704963,0.003436178,0.002838731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001027132,0.0004320888,0.01421912,0.0007771289,0.00009399489,0.0009537713,0.003965155,0.002782987,0.02627375,0.03296285,0.2949337,0.6215784],"study_design_scores_gemma":[0.0002174162,0.0002739904,0.01066184,0.0006461198,0.00008372204,0.001139348,0.00320062,0.02368155,0.04246402,0.0404425,0.8768492,0.000339706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1426542,0.005579223,0.5419624,0.03543548,0.003107687,0.001785764,0.008892078,0.1691601,0.09142307],"genre_scores_gemma":[0.2811209,0.00322539,0.6549333,0.003468028,0.001306892,0.0005064934,0.01761587,0.016135,0.02168812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0112704,"threshold_uncertainty_score":0.03639609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05084261234782845,"score_gpt":0.3303780181964633,"score_spread":0.2795354058486349,"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."}}