{"id":"W7074122474","doi":"","title":"General trends in world biogeographic literature: a preliminary bibliometric analysis","year":2008,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biogeography; Natural history; Period (music); Citation; Variety (cybernetics); Distribution (mathematics); Natural science; Science Citation Index","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0102714,0.000588682,0.0019746,0.1854441,0.00097317,0.004892338,0.0009773755,0.0006529074,0.009035577],"category_scores_gemma":[0.04397335,0.0004090078,0.003419506,0.1890492,0.0008792588,0.005447732,0.002700419,0.0004993013,0.001666213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001920303,"about_ca_system_score_gemma":0.002936773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006885753,"about_ca_topic_score_gemma":0.00688955,"domain_scores_codex":[0.989872,0.001580386,0.003403863,0.0009541382,0.003604565,0.0005849207],"domain_scores_gemma":[0.9491971,0.03059775,0.008949082,0.001549734,0.008648221,0.001058151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004142344,0.0001418936,0.9031153,0.009588386,0.001830619,0.0002724938,0.002478443,0.0009133596,0.0006637606,0.001642939,0.007356294,0.0715823],"study_design_scores_gemma":[0.00005238631,0.0002218259,0.9726803,0.001180996,0.001140174,0.0006882291,0.004157422,0.002229989,0.0004053675,0.00121545,0.01596106,0.0000666534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7544592,0.02451035,0.00309147,0.001489574,0.00009761284,0.001429495,0.1998676,0.000444817,0.01460999],"genre_scores_gemma":[0.8764408,0.01554342,0.008646369,0.000178134,0.0002936525,0.00226928,0.09461227,0.0001426557,0.001873444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8145559,"threshold_uncertainty_score":0.05432099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074028419813138,"score_gpt":0.2259639354770087,"score_spread":0.2052236512788774,"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."}}