{"id":"W1984192729","doi":"10.1371/journal.pone.0095845","title":"Global Patterns in Ecological Indicators of Marine Food Webs: A Modelling Approach","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":249,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission","keywords":"Food web; Environmental science; Marine ecosystem; Ecosystem; Ecology; Trophic level; Fishing; Overfishing; Biomass (ecology); Fishery; Biology","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":[0.001543626,0.0005667612,0.0002935477,0.001666618,0.0002256393,0.001122109,0.0006227069,0.0004354539,0.001436717],"category_scores_gemma":[0.002786339,0.0002621058,0.001292144,0.002084924,0.0004857275,0.001109626,0.001132477,0.0006233719,0.0001228162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031198,"about_ca_system_score_gemma":0.0003850526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005227966,"about_ca_topic_score_gemma":0.004660292,"domain_scores_codex":[0.9997653,0.0001144155,0.00001385248,0.00006539889,0.00002369246,0.00001731692],"domain_scores_gemma":[0.9990836,0.0005155152,0.0001952767,0.0001122775,0.00005406861,0.00003913676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008368919,0.00008481462,0.1392494,0.0001227161,0.0004852855,0.0001158736,0.0004573364,0.7945926,0.001512074,0.02863921,0.0006141277,0.0340429],"study_design_scores_gemma":[0.00001370465,0.00009557618,0.05339129,0.00003031303,0.0001030485,0.00006941938,0.0002105695,0.9206088,0.0002729804,0.02331291,0.001871435,0.00001998196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7775562,0.0003520943,0.2141886,0.0003303257,0.00001627524,0.0001112514,0.001387592,0.0003821756,0.005675332],"genre_scores_gemma":[0.9423215,0.0002940843,0.05560973,0.00002258963,0.000009589089,0.000198541,0.0007698084,0.00006376563,0.0007104627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005227966,"threshold_uncertainty_score":0.01039505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04116808733044872,"score_gpt":0.2170205422593411,"score_spread":0.1758524549288924,"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."}}