{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002675825,0.00003071071,0.0001028113,0.00238693,0.0001153154,0.00001636516,0.0002547853,0.00005791109,0.001072515],"category_scores_gemma":[0.0004105259,0.00002423262,0.00001635213,0.007584194,0.0001770353,0.0001664707,0.0001006044,0.00007297897,0.0002637722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000817425,"about_ca_system_score_gemma":0.00001658514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006979088,"about_ca_topic_score_gemma":0.002675292,"domain_scores_codex":[0.9986269,0.000399623,0.0001381245,0.00008715606,0.0005191171,0.000229099],"domain_scores_gemma":[0.9990195,0.0004456638,0.00003959185,0.0002245577,0.0002196588,0.00005102134],"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":[0.00004075615,0.002694368,0.1947254,0.0003444457,0.00001413094,0.000001413293,0.03444495,5.782276e-9,0.02765168,0.02732956,0.000261432,0.7124919],"study_design_scores_gemma":[0.003129602,0.0006521608,0.8111297,0.01168307,0.00005587935,3.682214e-7,0.02392619,0.00006272225,0.007966205,0.01617865,0.1243369,0.0008784616],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9190328,0.001048444,0.000001586247,0.01551585,0.00002907223,0.0003650424,0.00002221974,0.00003188718,0.06395309],"genre_scores_gemma":[0.7995366,0.2000209,0.0001162535,0.00005248142,0.00007888112,0.00004507559,0.000002186399,0.00000442274,0.0001432469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7116134,"threshold_uncertainty_score":0.9998406,"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."}}