{"id":"W2334849374","doi":"10.5270/oceanobs09.cwp.75","title":"ChloroGIN: Use of Satellite and In Situ Data in Support of Ecosystem-Based Management of Marine Resources","year":2010,"lang":"en","type":"article","venue":"","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European commission; Geography; Research centre; Library science; Marine research; Oceanography; European union; Business; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001477408,0.0004431781,0.0003012602,0.001685867,0.0002418786,0.001598033,0.0004201737,0.0003088524,0.002145988],"category_scores_gemma":[0.002140036,0.000150841,0.0001314627,0.003001275,0.0003126203,0.001055993,0.001010894,0.0003113437,0.0009960842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008502303,"about_ca_system_score_gemma":0.0007043973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02665368,"about_ca_topic_score_gemma":0.04649412,"domain_scores_codex":[0.9994842,0.0001523426,0.00003758377,0.00011436,0.0001827809,0.00002874881],"domain_scores_gemma":[0.9984415,0.0004493179,0.0004963363,0.0001048826,0.0003059837,0.0002019032],"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":[0.002375812,0.0001281824,0.3549001,0.001574527,0.0002827697,0.0007724454,0.001596597,0.008683538,0.05603714,0.00105377,0.03547505,0.53712],"study_design_scores_gemma":[0.0002517785,0.0003797433,0.7154164,0.0005255743,0.0001940301,0.0006725218,0.002592994,0.05649399,0.03771348,0.002366771,0.1832025,0.0001902593],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7619599,0.01078769,0.04787545,0.005431612,0.0002398135,0.0005281544,0.08658853,0.01035461,0.07623421],"genre_scores_gemma":[0.8784714,0.006783453,0.08144104,0.0003847978,0.0001250892,0.000213941,0.02456365,0.0007791413,0.007237554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02665368,"threshold_uncertainty_score":0.05299705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180608683891884,"score_gpt":0.2109080883695247,"score_spread":0.1891020015306059,"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."}}