{"id":"W4389140112","doi":"10.1038/d41586-023-03762-4","title":"Why is China’s high-quality research footprint becoming more introverted?","year":2023,"lang":"en","type":"article","venue":"Nature","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"CARE Canada","funders":"","keywords":"China; Publishing; Index (typography); Footprint; Quality (philosophy); Regional science; Library science; Political science; Computer science; Geography; World Wide Web; Law; Epistemology; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003305629,0.0002713636,0.0005449909,0.004024989,0.003044239,0.006010021,0.0008968602,0.001188406,0.007561362],"category_scores_gemma":[0.005632102,0.0001866586,0.0005529304,0.006580806,0.003422725,0.002474729,0.002551181,0.001393281,0.000591769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004993977,"about_ca_system_score_gemma":0.01290595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04230798,"about_ca_topic_score_gemma":0.06497844,"domain_scores_codex":[0.997243,0.0003206048,0.0001523543,0.0003970117,0.001146986,0.0007399344],"domain_scores_gemma":[0.9899489,0.001475098,0.002005742,0.00103373,0.002420917,0.003115646],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003516652,0.0002760603,0.6307639,0.0008887966,0.0006478181,0.001576451,0.01114278,0.001109422,0.007027316,0.1236968,0.04282181,0.1796972],"study_design_scores_gemma":[0.00007730474,0.0001794517,0.8707437,0.0001945985,0.0001049415,0.0003514033,0.007174095,0.0006272415,0.001298303,0.01514292,0.104023,0.00008315169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8777478,0.003809496,0.001417829,0.03789016,0.0005968018,0.00006800442,0.001171018,0.0002455107,0.07705316],"genre_scores_gemma":[0.9881633,0.0008220937,0.0006018712,0.003952924,0.0002208734,0.00002328264,0.000398538,0.00002219129,0.005794863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9966944,"threshold_uncertainty_score":0.08412343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6603088369012983,"score_gpt":0.6626146868126132,"score_spread":0.002305849911314883,"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."}}