{"id":"W4235359313","doi":"10.18438/b8g605","title":"Editorial Responsibilities","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02424955,0.002318775,0.002452022,0.00566883,0.005763434,0.01413941,0.003015808,0.01028007,0.2337776],"category_scores_gemma":[0.1792594,0.001002612,0.001351858,0.002053727,0.002699112,0.004671905,0.004826567,0.009372429,0.1621625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003695809,"about_ca_system_score_gemma":0.01067933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001437291,"about_ca_topic_score_gemma":0.002898267,"domain_scores_codex":[0.9753504,0.005944947,0.003151946,0.002851931,0.01049818,0.00220263],"domain_scores_gemma":[0.7876029,0.03093995,0.0161114,0.01226311,0.1262303,0.0268524],"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":[0.0000431109,0.00001287613,0.00009727085,0.0001550904,0.000005104917,0.0000913019,0.00004805283,0.00001247334,0.0000938951,0.0007207351,0.9856465,0.01307359],"study_design_scores_gemma":[0.0000289731,0.00001245696,0.0001762224,0.0002681121,0.00001138541,0.000203525,0.0001714356,0.0001136625,0.0002177098,0.001877324,0.9969042,0.000014828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0002903172,0.002849158,0.001144332,0.09719909,0.8541856,0.0003028035,0.0004724042,0.0006587456,0.04289759],"genre_scores_gemma":[0.00731054,0.003309053,0.003391199,0.09204528,0.5790786,0.001069328,0.0009845188,0.00118772,0.3116238],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9897199,"threshold_uncertainty_score":0.7820638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2432339482735757,"score_gpt":0.4940169500158895,"score_spread":0.2507830017423138,"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."}}