{"id":"W4205872505","doi":"10.1002/lob.10455","title":"Outstanding <i>L&amp;O</i> Associate Editors and Reviewers","year":2021,"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":true,"ca_institutions":"","funders":"","keywords":"Audience measurement; Pride; Library science; Front cover; Political science; Law; Engineering; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002968528,0.0001157,0.0001827145,0.00003809322,0.000214639,0.00004127491,0.0000844418,0.0001276271,0.006029218],"category_scores_gemma":[0.0001278646,0.00010553,0.00005652663,0.0002418748,0.0004244782,0.00004405525,0.000343632,0.0002357564,0.00007971534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001234109,"about_ca_system_score_gemma":0.000004938795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002670558,"about_ca_topic_score_gemma":0.00002584546,"domain_scores_codex":[0.9989409,0.0001184773,0.0001477428,0.0003286121,0.0001500259,0.0003141832],"domain_scores_gemma":[0.9995754,0.00009938348,0.00004206079,0.0001607899,0.00001224506,0.0001101268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001467588,0.00002569942,0.882139,0.00002148935,0.00002736514,0.00002639679,0.0001376949,1.861419e-7,0.00008825678,0.0001648408,0.1079304,0.009424006],"study_design_scores_gemma":[0.0002092599,0.00003844395,0.03307785,0.000007347322,0.00001422364,0.00002357225,0.0001482544,0.000001697132,0.00005017213,0.0004283143,0.9658778,0.0001231083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6794829,0.002447276,0.0001041514,0.02143453,0.001040202,0.0002305775,0.0000147205,0.0001008305,0.2951448],"genre_scores_gemma":[0.8564695,0.06585652,0.01102255,0.01570219,0.002293981,0.00007832416,0.0001313904,0.0001207629,0.04832485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8579473,"threshold_uncertainty_score":0.9948794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095840533415479,"score_gpt":0.2270730962176886,"score_spread":0.2161146908835338,"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."}}