{"id":"W4396951456","doi":"10.1016/j.heliyon.2024.e31411","title":"Towards equal representation - A bibliometric analysis of authorships in Laboratory Medicine and Clinical Chemistry from the United States, Canada, and Europe (2005–2022)","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Representation (politics); Medical laboratory; Medicine; Library science; Chemistry; Political science; Pathology; Computer science; Law","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009980041,0.0003135833,0.001027763,0.05547241,0.001254751,0.004277516,0.0009777872,0.000620947,0.001927055],"category_scores_gemma":[0.06053088,0.000163998,0.001239238,0.1033036,0.0008244594,0.002220061,0.002288371,0.0004742524,0.0003701111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005942393,"about_ca_system_score_gemma":0.009813806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1491256,"about_ca_topic_score_gemma":0.1376263,"domain_scores_codex":[0.9877796,0.001538402,0.001916069,0.00139449,0.006425845,0.0009455298],"domain_scores_gemma":[0.9266746,0.02520553,0.01969109,0.002299368,0.0230798,0.00304965],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001202385,0.00002086518,0.9585079,0.0009387148,0.0006938733,0.0001535476,0.001147336,0.0005621671,0.0001392752,0.0006267123,0.003387151,0.03370229],"study_design_scores_gemma":[0.00001069799,0.00002393974,0.9893674,0.0002837239,0.0002329964,0.0002748641,0.001727805,0.0009516344,0.0001182204,0.0003828241,0.006606119,0.00001967542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9243711,0.02537344,0.0008771759,0.002116243,0.0001305433,0.0001070074,0.03714174,0.0001183,0.009764476],"genre_scores_gemma":[0.9829942,0.005527652,0.0006088152,0.0001031695,0.00008201888,0.00005683666,0.009838152,0.0000179052,0.0007711868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.99002,"threshold_uncertainty_score":0.2965152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07687320202286294,"score_gpt":0.3734830086855009,"score_spread":0.296609806662638,"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."}}