{"id":"W2595546075","doi":"","title":"Flexible Workflow Software enables the Management of an Increased Volume and Heterogeneity of Sensors, and evolves with the Expansion of Complex Ocean Observatory Infrastructures.","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ocean Networks Canada Society","funders":"","keywords":"Workflow; Software; Volume (thermodynamics); Observatory; Computer science; Remote sensing; Geology; Database; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01456,0.001718716,0.0009723715,0.003589021,0.001803934,0.006589725,0.004653705,0.001567123,0.006992274],"category_scores_gemma":[0.03031263,0.001166421,0.001956828,0.004132647,0.001872005,0.007470593,0.006230712,0.003514802,0.004044651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689566,"about_ca_system_score_gemma":0.006850055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01501004,"about_ca_topic_score_gemma":0.01596534,"domain_scores_codex":[0.9926307,0.00145387,0.0009219471,0.001894521,0.002545681,0.0005532727],"domain_scores_gemma":[0.9600224,0.009367228,0.002065453,0.01927944,0.006551484,0.002714007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001029101,0.0007135814,0.01865266,0.0009436749,0.0005199045,0.000898353,0.00252545,0.04249902,0.05705273,0.07378872,0.1135266,0.6878503],"study_design_scores_gemma":[0.0005406017,0.0003881872,0.01481738,0.0005950959,0.0002491421,0.0008280972,0.001173491,0.2658965,0.05144721,0.2131879,0.4503299,0.0005465444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.011934,0.000330069,0.9285783,0.001872424,0.0003483687,0.0004225171,0.002073429,0.04591301,0.008527924],"genre_scores_gemma":[0.1785101,0.001320377,0.770557,0.001599567,0.0004329522,0.001002943,0.01762337,0.01400017,0.01495352],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01501004,"threshold_uncertainty_score":0.07700157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695995635707091,"score_gpt":0.2175971968056106,"score_spread":0.1906372404485397,"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."}}