{"id":"W3143684518","doi":"10.1353/esc.2018.0026","title":"Hailing Distance: On Citation and the Pandemic","year":2018,"lang":"en","type":"article","venue":"English studies in Canada","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Scholarship; Media studies; Wonder; Feeling; Sociology; History; Law; Psychology; Political science; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.05280718,0.0009673937,0.002407306,0.01347532,0.02022389,0.0389412,0.004630122,0.02172359,0.0153361],"category_scores_gemma":[0.232557,0.0007368708,0.0009724689,0.01491808,0.05493761,0.06215827,0.02002649,0.02213901,0.004218704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0151261,"about_ca_system_score_gemma":0.01992587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01554953,"about_ca_topic_score_gemma":0.01858631,"domain_scores_codex":[0.941031,0.03595756,0.003218491,0.002867107,0.01276615,0.004159684],"domain_scores_gemma":[0.7069681,0.2263351,0.01157963,0.01058259,0.03471334,0.009821216],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003948561,0.00001988743,0.0006074569,0.0005004263,0.00002434281,0.0001175354,0.02170866,0.00008422432,0.00006622541,0.205342,0.7221037,0.04938604],"study_design_scores_gemma":[0.00002040439,0.00002875851,0.0007402026,0.00300835,0.00001689265,0.0001291985,0.01900519,0.00009220195,0.0001066541,0.1177787,0.8589933,0.00008002269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001074826,0.07393004,0.0004324268,0.8899192,0.02312089,0.00001080348,0.0000555732,0.00005025305,0.01140593],"genre_scores_gemma":[0.14655,0.2173942,0.001645529,0.4334087,0.1717474,0.0001837824,0.000226828,0.0005906582,0.0282529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9865247,"threshold_uncertainty_score":0.2792744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05258584083439938,"score_gpt":0.3416725383971496,"score_spread":0.2890866975627502,"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."}}