{"id":"W4206961350","doi":"10.3389/fmars.2021.737671","title":"Ocean Integration: The Needs and Challenges of Effective Coordination Within the Ocean Observing System","year":2022,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland; Fisheries and Oceans Canada","funders":"European Commission","keywords":"Software deployment; Sustainability; Ocean observations; Corporate governance; Environmental resource management; Business; Computer science; Environmental science; Ecology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002124294,0.00008335192,0.00009616604,0.00009076547,0.000469946,0.00003542006,0.0006086142,0.000008068671,0.00002239534],"category_scores_gemma":[0.00006478154,0.00005046021,0.00001885187,0.0009854629,0.0005882593,0.0001969599,0.007984509,0.000138924,7.365884e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002639809,"about_ca_system_score_gemma":0.00001152347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00041072,"about_ca_topic_score_gemma":0.00008447668,"domain_scores_codex":[0.9988971,0.0001250917,0.0001541927,0.0002240683,0.0004506703,0.0001488371],"domain_scores_gemma":[0.9995677,0.00004706601,0.000105503,0.0002424736,0.00001069774,0.00002651978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004637616,0.00006802715,0.2483182,0.00006602469,0.00001111917,0.000004455191,0.008924616,0.01070438,0.0002576683,0.03683706,0.002714444,0.6920476],"study_design_scores_gemma":[0.0004984968,0.0003280454,0.7625341,0.00003344327,0.00002696832,0.0000210844,0.115062,0.09841925,0.0004173275,0.01913783,0.003263767,0.0002576794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327039,0.0001507668,0.001219662,0.00729241,0.001267212,0.001189833,0.000002862629,0.00004030413,0.05613301],"genre_scores_gemma":[0.9986812,0.00001852531,0.0008527875,0.00006244027,0.00001082472,0.0000149052,7.840264e-7,0.000003776449,0.0003546948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6917899,"threshold_uncertainty_score":0.9952118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007216447227983824,"score_gpt":0.1853462687028138,"score_spread":0.1781298214748299,"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."}}