{"id":"W2914474517","doi":"10.1111/acem.13707","title":"On Lampposts, Sneetches, and Stars: A Call to Go Beyond Bibliometrics for Determining Academic Value","year":2019,"lang":"en","type":"letter","venue":"Academic Emergency Medicine","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Popularity; Scholarship; Impact factor; Bibliometrics; Productivity; Altmetrics; Academic institution; Promotion (chess); Metric (unit); Value (mathematics); Medicine; Scholarly communication; Public relations; Computer science; Data science; Psychology; Marketing; Publishing; Library science; Political science; Law; Social psychology","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03788706,0.001997297,0.003153042,0.00620066,0.00507677,0.02234707,0.005841542,0.0134058,0.005642],"category_scores_gemma":[0.1521695,0.001163737,0.001655478,0.004228882,0.02182985,0.02306997,0.004497916,0.03934157,0.005222798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004730234,"about_ca_system_score_gemma":0.00521644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003279507,"about_ca_topic_score_gemma":0.006175374,"domain_scores_codex":[0.9664718,0.01174877,0.003824405,0.003504325,0.01366039,0.0007903114],"domain_scores_gemma":[0.752346,0.1740768,0.00798828,0.006699162,0.05179818,0.00709158],"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":[0.0000335871,0.00001310239,0.0002945023,0.000315105,0.00003180591,0.00004246768,0.0004445653,0.00005589595,0.00007308717,0.009841024,0.9567749,0.03207991],"study_design_scores_gemma":[0.00001869736,0.00004900453,0.0004950881,0.001607527,0.0000390889,0.0001516393,0.0007094958,0.0003523755,0.0001807073,0.02421935,0.9720849,0.00009207218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0002198278,0.02932126,0.003039743,0.3924458,0.5725285,0.00002527264,0.00006686006,0.000169674,0.002183079],"genre_scores_gemma":[0.003091772,0.02729903,0.002372158,0.1349672,0.8273602,0.00004871969,0.00005604501,0.00039649,0.00440834],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9937993,"threshold_uncertainty_score":0.2003683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2239634962894042,"score_gpt":0.4782555480016928,"score_spread":0.2542920517122885,"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."}}