{"id":"W2313968846","doi":"10.5270/oceanobs09.cwp.18","title":"Ocean and Coastal Data Stewardship","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Weather Service; National Oceanic and Atmospheric Administration","keywords":"Stewardship (theology); Computer science; Oceanography; Remote sensing; Environmental resource management; Environmental science; Geology; Political science","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":[0.01969264,0.0006853859,0.0009668469,0.004486235,0.003542433,0.01269476,0.002387135,0.002567532,0.03020531],"category_scores_gemma":[0.04060705,0.0005558779,0.0007114561,0.008612718,0.003278505,0.01195054,0.01516025,0.003419647,0.02014616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001977928,"about_ca_system_score_gemma":0.01301073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007500408,"about_ca_topic_score_gemma":0.005505158,"domain_scores_codex":[0.9825399,0.003783779,0.002344334,0.002991611,0.007042679,0.001297767],"domain_scores_gemma":[0.9416354,0.006902675,0.003196808,0.02047946,0.021105,0.00668064],"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":[0.00009378178,0.00008395961,0.008118816,0.0004559842,0.00006457463,0.0002817912,0.001643474,0.0008206965,0.002461451,0.1693169,0.2973758,0.5192828],"study_design_scores_gemma":[0.000006113313,0.00001133406,0.001676077,0.0001486379,0.00001170306,0.0001590993,0.0004387138,0.0005978782,0.001097652,0.01562856,0.9802015,0.00002267281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01789186,0.0217783,0.2560175,0.1024563,0.009080836,0.0009828197,0.00901693,0.008946281,0.5738292],"genre_scores_gemma":[0.1831706,0.02833944,0.2593195,0.03618854,0.006657916,0.0007955061,0.02631693,0.005328255,0.4538833],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03020531,"threshold_uncertainty_score":0.1041459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144026283135224,"score_gpt":0.3112778488939311,"score_spread":0.2798375860625789,"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."}}