{"id":"W3201111863","doi":"10.3390/su131810378","title":"Chinese Universities’ Cross-Border Research Collaboration in the Social Sciences and Its Impact","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Scopus; Institution; Political science; Quality (philosophy); Bibliometrics; Library science; Social science; Sociology; MEDLINE; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":["metaresearch","bibliometrics"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"grok","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"opus","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005698202,0.0003005281,0.000590687,0.01120665,0.001929831,0.004005864,0.0004196001,0.0004580166,0.002741875],"category_scores_gemma":[0.01751932,0.0001550972,0.000574313,0.01991069,0.0007514367,0.002367468,0.003997414,0.0003155379,0.0003207117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002164484,"about_ca_system_score_gemma":0.005357411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137446,"about_ca_topic_score_gemma":0.01514503,"domain_scores_codex":[0.9946383,0.001348017,0.0008929906,0.0007317304,0.001637497,0.0007516164],"domain_scores_gemma":[0.9807112,0.005871253,0.005797928,0.001053711,0.004036163,0.002529734],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001103821,0.00005173683,0.8936265,0.0007930545,0.0003687135,0.000823085,0.01647732,0.0005628672,0.001085606,0.003852237,0.001478614,0.08077003],"study_design_scores_gemma":[0.00001299393,0.00006773439,0.9698833,0.0002833556,0.00025067,0.000422549,0.01195336,0.001338244,0.0006402975,0.001467943,0.0136411,0.00003850548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775462,0.008875309,0.0006483148,0.001019854,0.00007988266,0.00003963517,0.0005960025,0.00002285115,0.01117215],"genre_scores_gemma":[0.9967039,0.002060761,0.0002637452,0.00005335459,0.00004102082,0.00001810703,0.0002424968,0.000004515714,0.0006120556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9943018,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3263900818642749,"score_gpt":0.723295831982531,"score_spread":0.3969057501182561,"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."}}