{"id":"W3095929879","doi":"10.17821/srels/2020/v57i3/148391","title":"Citation Trend of Byline and Dateline Articles of “The Guardian”","year":2020,"lang":"en","type":"article","venue":"SRELS Journal of Information Management","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Newspaper; Guardian; Citation; Audience measurement; Psychology; Library science; Media studies; Advertising; Political science; Computer science; Sociology","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0008841113,0.0001502272,0.0002530263,0.0149738,0.0003585339,0.001296556,0.0002778121,0.0002439163,0.002292081],"category_scores_gemma":[0.006579074,0.00005963188,0.0002811645,0.01794918,0.0002091384,0.0008486665,0.0003877468,0.0001831838,0.0008238861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006162925,"about_ca_system_score_gemma":0.0006137576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006185206,"about_ca_topic_score_gemma":0.01054627,"domain_scores_codex":[0.9990554,0.0001430647,0.000214157,0.0001561518,0.0003319274,0.00009934042],"domain_scores_gemma":[0.9889297,0.002187682,0.004470793,0.0003699572,0.003626354,0.0004153907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003755575,0.00003346761,0.8838473,0.001021071,0.0001490466,0.0006726016,0.002428242,0.0002008156,0.003604757,0.001046218,0.006898754,0.09972224],"study_design_scores_gemma":[0.000003550066,0.00006408052,0.9724698,0.0001112405,0.00008363878,0.0007251527,0.001701617,0.0003063754,0.0015117,0.0001447342,0.02286534,0.00001290973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740226,0.006558155,0.0003126318,0.0004292712,0.00008569836,0.00001920649,0.01203197,0.00004424663,0.006496122],"genre_scores_gemma":[0.9757904,0.004739312,0.0006569537,0.00006168922,0.0001922854,0.00002448503,0.01240579,0.00002613377,0.006102931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9850262,"threshold_uncertainty_score":0.01229841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4372411756890948,"score_gpt":0.4921982558167358,"score_spread":0.05495708012764106,"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."}}