{"id":"W4253855022","doi":"10.1080/07011784.2021.1935720","title":"List of reviewers for papers received in 2020","year":2021,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007437507,0.000409219,0.001126555,0.001244773,0.0006753409,0.001530196,0.00302891,0.0003710965,0.0007509612],"category_scores_gemma":[0.01257075,0.0003055933,0.0004675471,0.001489828,0.0005105413,0.001090963,0.0001507248,0.000978354,0.00001469614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009208022,"about_ca_system_score_gemma":0.00008929187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09274688,"about_ca_topic_score_gemma":0.7918652,"domain_scores_codex":[0.9939606,0.0009298577,0.002014922,0.000904759,0.0005993756,0.001590528],"domain_scores_gemma":[0.9939789,0.0009189109,0.0007040973,0.0008581177,0.001503738,0.00203626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002739826,0.00006804689,0.07190609,0.0004500677,0.0002726297,0.003343781,0.7841244,0.002298373,0.006294938,0.00003639987,0.006908693,0.1240226],"study_design_scores_gemma":[0.0005041958,0.00009359865,0.002788071,0.0007213356,0.00003588526,0.0008393488,0.004980253,0.0002511026,0.002574715,0.005868253,0.9809116,0.0004317029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786498,0.00609115,0.00002292979,0.006314808,0.0005973581,0.0003205813,0.0001609585,0.00001784783,0.007824553],"genre_scores_gemma":[0.9886006,0.001758176,0.0005534605,0.001300556,0.000620755,0.00003036661,0.00004420905,0.00006541597,0.007026508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9740028,"threshold_uncertainty_score":0.9999396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053055713935951,"score_gpt":0.3088357911443347,"score_spread":0.2583052340049752,"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."}}