{"id":"W3000674115","doi":"10.1007/s11192-019-03340-4","title":"Mapping the dynamics of research networks in ecology and evolution using co-citation analysis (1975–2014)","year":2020,"lang":"en","type":"article","venue":"Scientometrics","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ecology; Population ecology; Evolutionary ecology; Citation; Population; Taxon; Field (mathematics); Sociology; Biology; Geography; Computer science; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001524417,0.00004449959,0.0001234257,0.0003907594,0.0002344773,0.00004123785,0.0001457265,0.00004525035,0.000008407884],"category_scores_gemma":[0.000474475,0.00001661366,0.00003201655,0.02322321,0.0001617154,0.00005787365,0.00009908445,0.0001133014,0.000001535988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005365403,"about_ca_system_score_gemma":0.000005430001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003234298,"about_ca_topic_score_gemma":0.003343892,"domain_scores_codex":[0.9990538,0.0001134721,0.0001416212,0.0001710479,0.0003157811,0.0002042678],"domain_scores_gemma":[0.9991499,0.000601481,0.00006244123,0.00001325778,0.0001301507,0.00004280263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006571094,0.00001159873,0.9930122,0.0000036046,0.0000136961,6.706815e-7,0.0001704431,0.0008935241,0.003371367,0.0003695289,0.00005129964,0.002095469],"study_design_scores_gemma":[0.00002868458,0.00005118365,0.7748945,0.00000248898,0.000007683791,2.592236e-7,0.001024905,0.2238265,0.000007481856,0.00007095381,0.00005602047,0.00002936871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980416,0.0004670531,0.0002626654,0.0009609243,0.0000220577,0.00008427484,0.00001649143,0.000006569767,0.0001383789],"genre_scores_gemma":[0.9997099,0.0001311372,0.0000552145,0.00003527548,0.00004305676,0.000001271321,0.00001253782,2.136006e-7,0.00001141316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2229329,"threshold_uncertainty_score":0.9975386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2390556245279027,"score_gpt":0.3420559080868333,"score_spread":0.1030002835589306,"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."}}