{"id":"W2803541681","doi":"10.3390/su10051655","title":"Ten Years of Sustainability (2009 to 2018): A Bibliometric Overview","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"PetroChina Innovation Foundation; Sichuan University; PetroChina Company Limited; National Natural Science Foundation of China","keywords":"Citation; Sustainability; Bibliometrics; Field (mathematics); Data science; Library science; Computer science; Ecology; Mathematics","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":["metaresearch","metaepi_narrow","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.003902651,0.0004332054,0.0006786476,0.01864633,0.0002555903,0.00031445,0.001147743,0.0001674151,0.0008428915],"category_scores_gemma":[0.01437792,0.0004584019,0.0002807093,0.06873421,0.0005670509,0.001380002,0.001753581,0.0002317273,0.0002440459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002118317,"about_ca_system_score_gemma":0.0005854239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006409894,"about_ca_topic_score_gemma":0.0001776833,"domain_scores_codex":[0.9955593,0.00009953987,0.0009277312,0.001084909,0.0009766282,0.00135191],"domain_scores_gemma":[0.9898123,0.000220728,0.0004026447,0.00192758,0.007538898,0.00009786302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007292735,0.001560071,0.4605965,0.01133279,0.0001682872,0.0001412796,0.0007665853,0.0003505537,0.00002691741,0.09422423,0.08834646,0.3417571],"study_design_scores_gemma":[0.0006387257,0.0001556784,0.4834176,0.00002702922,0.00008265306,9.219862e-7,0.004431813,0.0003522572,0.00003408089,0.1117399,0.3986059,0.0005134162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751225,0.0004153503,0.002246767,0.009078184,0.0006744851,0.004775083,0.00001352887,0.0004568919,0.007217271],"genre_scores_gemma":[0.9949908,0.000009019463,0.0003541161,0.001860073,0.0009579142,0.0002035937,0.00001446563,0.00006581739,0.001544241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3412436,"threshold_uncertainty_score":0.9997868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698171757603848,"score_gpt":0.280961321960934,"score_spread":0.2639796043848955,"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."}}