{"id":"W2267732457","doi":"10.1371/journal.pone.0160393","title":"Climate Change Research in View of Bibliometrics","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":330,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bibliometrics; Climate change; Citation; Vulnerability (computing); Citation impact; Citation analysis; Global warming; Geography; Regional science; Environmental resource management; Social science; Physical geography; Library science; Environmental science; Sociology; Ecology; Computer science; Biology","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":[0.01023006,0.0008936363,0.002127801,0.1820269,0.001408946,0.01317452,0.00107701,0.001074522,0.006443516],"category_scores_gemma":[0.06403243,0.0003006691,0.001393343,0.2608837,0.001871445,0.008379054,0.003965796,0.0007660346,0.001896903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003101346,"about_ca_system_score_gemma":0.00273559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00495562,"about_ca_topic_score_gemma":0.002627625,"domain_scores_codex":[0.9779537,0.004980896,0.002586815,0.001527277,0.0121439,0.0008073858],"domain_scores_gemma":[0.950516,0.02653943,0.01018537,0.002984089,0.008613305,0.001161779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003409597,0.0001750523,0.2797944,0.01342646,0.003162475,0.0007619104,0.006430649,0.00593328,0.001955349,0.1176999,0.0546138,0.5157058],"study_design_scores_gemma":[0.00006687301,0.0002326117,0.5671971,0.003706359,0.001037581,0.002168504,0.01067305,0.008694202,0.001579502,0.1130416,0.2913613,0.0002412435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2699277,0.2143275,0.02246415,0.01796173,0.002552305,0.0005763848,0.06794282,0.003062927,0.4011845],"genre_scores_gemma":[0.9034884,0.05651321,0.01006028,0.0007653117,0.003937754,0.0003866121,0.01995482,0.0002450078,0.004648498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8179731,"threshold_uncertainty_score":0.05410242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9395803217396376,"score_gpt":0.5683623800209383,"score_spread":0.3712179417186993,"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."}}