{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007302177,0.00003868079,0.00003305654,0.00001641513,0.00006118354,0.00006265769,0.0006669034,0.00001593863,0.000006275291],"category_scores_gemma":[0.000009985105,0.00003317527,0.00000493705,0.00008134911,0.000027614,0.0003268305,0.0006295806,0.00007517852,0.000007321352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":9.054559e-7,"about_ca_system_score_gemma":0.0000156614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006729115,"about_ca_topic_score_gemma":0.00001458675,"domain_scores_codex":[0.9995893,0.000003254229,0.0000582884,0.0002110237,0.00007127356,0.00006685369],"domain_scores_gemma":[0.9993046,0.00003840227,0.0000170422,0.0005699655,0.00002484249,0.00004518378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[1.818411e-7,0.00001152112,0.000166,8.750423e-7,9.851341e-7,5.639228e-7,0.0000117595,0.000005849124,0.0005840399,0.9643911,0.002087268,0.03273989],"study_design_scores_gemma":[0.0001545226,0.00003312465,0.005723577,0.000002607394,0.000002191727,0.00005135463,0.00001041682,0.357359,0.002076735,0.4625389,0.1718232,0.0002243893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007920374,0.000003526037,0.985679,0.002129272,0.00003438838,0.00005574619,0.000008199426,0.0002198428,0.00394961],"genre_scores_gemma":[0.5327562,0.00000188496,0.4668338,0.0002273112,0.00002133877,6.918392e-7,0.000009197181,0.000001691832,0.0001479032],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5248358,"threshold_uncertainty_score":0.1352848,"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."}}