{"id":"W1924177084","doi":"10.1111/j.1365-4632.2011.05112.x","title":"Scientific productivity of OECD countries in dermatology journals within the last 10‐year period","year":2012,"lang":"en","type":"article","venue":"International Journal of Dermatology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Productivity; Medicine; Population; Index (typography); Demography; Bibliometrics; Geography; Library science; Economic growth; Environmental health; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01076526,0.0001248251,0.0004844831,0.02346333,0.000148828,0.0009135639,0.003155632,0.0001208691,0.0008370198],"category_scores_gemma":[0.02138491,0.00007282487,0.000181767,0.01246862,0.0008814928,0.001395369,0.0004804052,0.0005021231,0.0001802381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032248,"about_ca_system_score_gemma":0.000556099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000787193,"about_ca_topic_score_gemma":0.00003743874,"domain_scores_codex":[0.9908967,0.0007411236,0.001720139,0.000238594,0.005950164,0.0004532764],"domain_scores_gemma":[0.9881112,0.002597932,0.001629588,0.0003623133,0.007095303,0.0002036668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001244547,0.0002879439,0.9809259,0.000005146371,0.00006889809,0.0002647482,0.001257816,0.00004795909,0.00120703,0.005843012,0.007612986,0.002354136],"study_design_scores_gemma":[0.002851258,0.0001587488,0.7049029,0.00008299473,0.00003347409,0.08514581,0.005561709,0.0009123574,0.04632564,0.02246155,0.1311826,0.0003809467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711325,0.002298802,0.000639562,0.02060713,0.004425672,0.00009551566,0.00001298665,0.000002888251,0.0007849761],"genre_scores_gemma":[0.9990677,0.00006753326,0.0003899918,0.00006698769,0.0001922061,0.000002074499,8.230716e-7,0.000006494455,0.0002061808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2760229,"threshold_uncertainty_score":0.9876049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3084683078737993,"score_gpt":0.5300698606143887,"score_spread":0.2216015527405893,"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."}}