{"id":"W2937343473","doi":"10.1093/ajcp/aqz037","title":"H-index and Academic Medicine","year":2019,"lang":"en","type":"letter","venue":"American Journal of Clinical Pathology","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Index (typography); Medicine; Statistics; Mathematics; Computer science; World Wide Web","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":[0.004797489,0.0006696784,0.001329275,0.001649335,0.0136605,0.009340443,0.002137826,0.108744,0.01955922],"category_scores_gemma":[0.03008268,0.0008760034,0.001213278,0.001630217,0.00645754,0.00476692,0.0036966,0.04948013,0.01020959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01077632,"about_ca_system_score_gemma":0.01409507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195458,"about_ca_topic_score_gemma":0.04402103,"domain_scores_codex":[0.99529,0.0009918518,0.0004515456,0.0005302452,0.001283042,0.001453247],"domain_scores_gemma":[0.9856637,0.006355891,0.000770414,0.0004727788,0.001933484,0.004803699],"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":[0.00003345742,0.00003920497,0.001213009,0.00002302892,0.000008089139,0.001663453,0.000177485,0.00004870342,0.00007278191,0.0131448,0.9783909,0.005185113],"study_design_scores_gemma":[0.0001811903,0.00005419915,0.004027881,0.0004453773,0.00003053273,0.002212625,0.001328672,0.0007547082,0.0002170107,0.04012094,0.9505357,0.00009106979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004206124,0.0005063167,0.00003463567,0.9822351,0.007711622,0.00000693633,0.00003012631,0.000008600043,0.009046133],"genre_scores_gemma":[0.008494669,0.0006678504,0.00008257928,0.9326261,0.03965081,0.00002785864,0.00002397167,0.00001842767,0.01840762],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9983507,"threshold_uncertainty_score":0.07818806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2815625269907379,"score_gpt":0.5678826722210524,"score_spread":0.2863201452303145,"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."}}