{"id":"W2084571473","doi":"10.1111/j.1600-0706.2012.20109.x","title":"Good news for the people who love bad news: an analysis of the funding of the top 1% most highly cited ecologists","year":2012,"lang":"en","type":"article","venue":"Oikos","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Elite; Incentive; Citation; Political science; Impact factor; Visibility; Subject (documents); Public relations; Economics; Geography; Library science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.01113045,0.0001285611,0.0004212625,0.01157138,0.0003104675,0.0005307755,0.003887462,0.0001078827,0.0006029293],"category_scores_gemma":[0.02298504,0.00004996394,0.000468181,0.2115787,0.0002320504,0.0004011911,0.00085883,0.0001700032,0.00002191111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008310801,"about_ca_system_score_gemma":0.0001394625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141336,"about_ca_topic_score_gemma":0.002170146,"domain_scores_codex":[0.9940101,0.000361805,0.0006328446,0.0003667336,0.004061377,0.0005671715],"domain_scores_gemma":[0.9870645,0.009030386,0.0005759412,0.001710596,0.001433135,0.000185403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001482486,0.0001319913,0.9739835,0.000003245028,0.0001206559,5.071405e-8,0.0007239255,0.0003887098,0.0006124885,0.001521238,0.006013742,0.01648558],"study_design_scores_gemma":[0.0002261197,0.00006392861,0.9706808,0.000003475173,0.0001438283,2.971586e-7,0.002214608,0.01214507,0.00148513,0.0004225918,0.01253415,0.00007995917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891415,0.0004340561,0.002491706,0.003544433,0.0007812275,0.0005618623,0.0001796931,0.000005531287,0.002860015],"genre_scores_gemma":[0.9959008,0.00005214889,0.0001462112,0.0002326422,0.00008570778,0.00001103138,0.00000274238,0.00000760111,0.003561102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2000073,"threshold_uncertainty_score":0.9996316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3780672626437092,"score_gpt":0.5150965363020076,"score_spread":0.1370292736582984,"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."}}