{"id":"W1484168718","doi":"10.1111/j.1365-2044.2011.06882.x","title":"Measuring academic productivity: don’t drop your ‘h’s!*","year":2011,"lang":"en","type":"letter","venue":"Anaesthesia","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staffing; Workload; Productivity; Medicine; Quality (philosophy); Citation; Metric (unit); Nursing; Library science; Management; Operations management; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0251009,0.002443067,0.002477318,0.005646209,0.004455772,0.02231662,0.004152636,0.008095652,0.02123884],"category_scores_gemma":[0.1658863,0.0009458799,0.001128025,0.008599552,0.008569326,0.02814637,0.006143866,0.01427738,0.02778916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005357848,"about_ca_system_score_gemma":0.00699539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006106654,"about_ca_topic_score_gemma":0.006663219,"domain_scores_codex":[0.9654845,0.01075254,0.002912691,0.002142266,0.01749311,0.001214848],"domain_scores_gemma":[0.8642874,0.06083512,0.008377128,0.005272227,0.04814982,0.01307818],"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":[0.00004018256,0.00003042046,0.00147759,0.0004324591,0.00003485951,0.00001338312,0.0003481995,0.00003652176,0.00003624601,0.002444252,0.9088442,0.08626159],"study_design_scores_gemma":[0.00008125048,0.0002658109,0.007339704,0.004459226,0.00007789921,0.0001927594,0.003142997,0.0002405516,0.000313439,0.02790665,0.9558349,0.0001446306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001137751,0.07753079,0.002622449,0.7602767,0.1455433,0.000082617,0.0009276986,0.0004583362,0.0114204],"genre_scores_gemma":[0.04078151,0.1600628,0.01497727,0.4944672,0.2526977,0.0006749948,0.002881173,0.001885232,0.03157216],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9748991,"threshold_uncertainty_score":0.1327478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07782043769790677,"score_gpt":0.2741508952718934,"score_spread":0.1963304575739866,"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."}}