{"id":"W2804282657","doi":"10.1002/lob.201322247a","title":"GETTING TO KNOW YOUR <i>L&amp;O:F&amp;E</i> ASSOCIATE EDITORS","year":2013,"lang":"en","type":"article","venue":"Limnology and Oceanography Bulletin","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Citation; Library science; Computer 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":[0.005685012,0.001835768,0.001126035,0.003361125,0.004306011,0.01142121,0.00202403,0.006165023,0.1956923],"category_scores_gemma":[0.01762337,0.0007639563,0.0007958801,0.001454067,0.001152914,0.006009489,0.003315541,0.006410211,0.1627602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650258,"about_ca_system_score_gemma":0.003890901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934464,"about_ca_topic_score_gemma":0.006957701,"domain_scores_codex":[0.9966151,0.0003026483,0.000257659,0.0004500966,0.001892436,0.0004820241],"domain_scores_gemma":[0.977469,0.001544956,0.0007065887,0.0007086902,0.01197555,0.007595092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007599201,0.000009768256,0.0000579086,0.00003791094,9.333098e-7,0.00003394866,0.00001521484,0.00001134805,0.00005510684,0.0002500794,0.9856149,0.0139052],"study_design_scores_gemma":[0.000004606916,0.00001168185,0.0001896797,0.00005296537,0.000003015247,0.00004226767,0.00007270213,0.00003062884,0.00005749034,0.0003192171,0.9992084,0.000007459621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002737686,0.004743336,0.0005897032,0.08658627,0.8404822,0.00007789588,0.0001176275,0.0002291956,0.06689992],"genre_scores_gemma":[0.002163371,0.006382535,0.0004255709,0.02586571,0.4250248,0.00007072339,0.0001192653,0.0003155776,0.5396324],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1956923,"threshold_uncertainty_score":0.6546559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027252706394833,"score_gpt":0.2304636898895346,"score_spread":0.2201911628255863,"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."}}