{"id":"W4246661581","doi":"10.18438/b8g304","title":"Editorial Responsibilities","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Torture, Ethics, and Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Library science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04047209,0.003345585,0.004569192,0.01120203,0.007523028,0.01947304,0.004438015,0.01704592,0.2677487],"category_scores_gemma":[0.2497946,0.001547726,0.001870971,0.003901855,0.003758767,0.007128519,0.005667326,0.01114166,0.2246692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00461029,"about_ca_system_score_gemma":0.01175542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001390232,"about_ca_topic_score_gemma":0.002828394,"domain_scores_codex":[0.9617224,0.00761829,0.005307724,0.004596838,0.01788215,0.00287257],"domain_scores_gemma":[0.6599395,0.04152381,0.02644405,0.02257525,0.2068801,0.04263742],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005982363,0.00001912664,0.0001083633,0.0002925379,0.000006292095,0.000155382,0.0001103355,0.0000170136,0.0001950917,0.001075694,0.9778967,0.02006364],"study_design_scores_gemma":[0.0000449304,0.00001723522,0.0002048576,0.0005283175,0.00001313303,0.0002695469,0.0002495768,0.0001247455,0.0002085722,0.002799552,0.9955155,0.00002405426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003160876,0.003545698,0.001529063,0.07052012,0.8725383,0.0007231371,0.0006720134,0.001093285,0.04906243],"genre_scores_gemma":[0.005100293,0.003203138,0.004010247,0.06844035,0.6449724,0.001841877,0.000938116,0.001094101,0.2703994],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9595279,"threshold_uncertainty_score":0.8957087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04252068901260159,"score_gpt":0.3288672090488264,"score_spread":0.2863465200362248,"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."}}