{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.006112124,0.0009919935,0.00215491,0.009520967,0.0001625124,0.000003298757,0.000814705,0.004295163,0.0006762017],"category_scores_gemma":[0.1528102,0.0007507596,0.0002262239,0.006515821,0.0002892481,0.0001603338,0.0002668471,0.01395798,0.0003328626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006347434,"about_ca_system_score_gemma":0.00330323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001737093,"about_ca_topic_score_gemma":0.000003239253,"domain_scores_codex":[0.9886767,0.0002550917,0.002472565,0.00156529,0.00356137,0.003468995],"domain_scores_gemma":[0.9869652,0.004691398,0.0006242828,0.0009758975,0.0005583789,0.006184849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003866175,0.00002341979,0.002630483,0.004335262,0.0001359389,0.0001472079,0.0006394803,7.391428e-7,0.001244627,0.00004348873,0.979965,0.01044772],"study_design_scores_gemma":[0.003446928,0.006163632,0.001101236,0.004858244,0.0004484572,0.0001001198,0.0000815954,0.0001860691,0.00006748834,0.0005462187,0.9823627,0.0006372608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0341275,0.0164864,0.0006228586,0.9362839,0.004054107,0.005451709,0.0002659216,0.0001591727,0.002548388],"genre_scores_gemma":[0.001428752,0.06503082,0.000459658,0.8915761,0.01664569,0.0004017653,0.0007468737,0.0002814057,0.02342897],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1466981,"threshold_uncertainty_score":0.9994943,"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."}}