{"id":"W2597966665","doi":"10.1038/srep44491","title":"Historical changes of the Mediterranean Sea ecosystem: modelling the role and impact of primary productivity and fisheries changes over time","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Productivity; Ecosystem; Primary productivity; Mediterranean climate; Fishery; Mediterranean sea; Fisheries science; Marine ecosystem; Oceanography; Environmental science; Ecology; Fisheries management; Biology; Fishing; Economics; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001495645,0.00009399877,0.0001905649,0.00002468156,0.0005432812,0.0001377517,0.0002611315,0.0000387182,0.0003065626],"category_scores_gemma":[0.0001257156,0.00004947768,0.00004478443,0.00009627193,0.0009175896,0.0002235878,0.0007422763,0.00009116004,5.62555e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113998,"about_ca_system_score_gemma":0.0000297119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935127,"about_ca_topic_score_gemma":0.001094323,"domain_scores_codex":[0.9986594,0.00006094352,0.0001687839,0.0003789761,0.0005449285,0.0001869377],"domain_scores_gemma":[0.9985502,0.00003012238,0.0003306981,0.001002313,0.00002546009,0.00006114999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002157282,0.00004515232,0.9481289,0.0000782447,0.00001855258,0.000009345961,0.001445942,0.00005100916,0.02216001,0.00000136345,0.005096589,0.02294332],"study_design_scores_gemma":[0.0002122312,0.0002426587,0.7816001,0.00006248572,0.00005520833,0.0002194797,0.00009577272,0.01473351,0.01433293,0.002447949,0.1856425,0.0003551799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869204,0.00009858925,0.000003589675,0.0008376463,0.000480638,0.0002983862,0.000005477673,0.000005416187,0.01134989],"genre_scores_gemma":[0.9944995,0.00001749422,0.00002533718,0.000002803388,0.00005215597,0.00001033598,0.000001786335,0.000006583414,0.005383997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1805459,"threshold_uncertainty_score":0.4437054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02892514288184803,"score_gpt":0.2385041193746374,"score_spread":0.2095789764927894,"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."}}