{"id":"W4386695755","doi":"10.3161/15052249pje2023.71.1.001","title":"Bibliometric Analysis of Top Papers in Ecology Based on Essential Science Indicators during 2011–2021","year":2023,"lang":"en","type":"article","venue":"Polish Journal of Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Ecology; Bibliometrics; Conservation biology; Viewpoints; Subject (documents); Library science; Geography; Biodiversity; Landscape ecology; Political science; Biology; Computer science; Habitat","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":["bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.001245765,0.00009299674,0.0004024862,0.0656307,0.00009244477,0.00002003896,0.0005181551,0.00009149539,0.004389189],"category_scores_gemma":[0.0001676051,0.00007509314,0.0001288964,0.1014325,0.0001122299,0.0001996882,0.0001513935,0.0001474466,0.0001174192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000197803,"about_ca_system_score_gemma":0.00008048654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002610458,"about_ca_topic_score_gemma":0.00338797,"domain_scores_codex":[0.9983722,0.00009834206,0.0005179711,0.0002079323,0.000388986,0.000414581],"domain_scores_gemma":[0.9989746,0.0002317186,0.000467157,0.0001632624,0.0000229268,0.0001403935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003216454,0.00009766949,0.965061,0.000009556055,0.00006028658,0.00006885196,0.00008932589,0.03186505,0.002064943,0.000005440882,0.00005503145,0.0005906979],"study_design_scores_gemma":[0.0004708908,0.0001680879,0.9928632,0.000007099363,0.0001010836,0.00000716027,0.00007909095,0.004540172,0.001591163,0.00001879715,0.00008030093,0.00007296687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974762,0.000008018269,5.142345e-7,0.0002917533,0.0003716808,0.00005007769,0.000006295879,0.000004477753,0.001791011],"genre_scores_gemma":[0.9997018,0.00008920221,0.00002605446,0.0001134459,0.00004628144,0.000002362527,0.000002056724,0.000005293064,0.00001350787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0358018,"threshold_uncertainty_score":0.9965209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007285003459214784,"score_gpt":0.2513380098250215,"score_spread":0.2440530063658067,"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."}}