{"id":"W4410635985","doi":"10.1016/j.techsoc.2025.102954","title":"Unpacking the dynamics of international research collaboration network: Structural effects and dyadic effects","year":2025,"lang":"en","type":"article","venue":"Technology in Society","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"Humanities and Social Science Fund of Ministry of Education of China; Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China; Fundamental Research Funds for the Central Universities; Chongqing Social Science Planning Fund; National Natural Science Foundation of China; Shanghai Municipal Education Commission; National University's Basic Research Foundation of China; Shanghai Education Development Foundation","keywords":"Unpacking; Dynamics (music); Sociology; Computer science; Psychology","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":[0.00659543,0.0002835515,0.000787568,0.002393141,0.001939855,0.005112267,0.001096895,0.001231531,0.0104691],"category_scores_gemma":[0.04630507,0.0005025683,0.0005693631,0.003804559,0.002957677,0.01148339,0.005208338,0.001848123,0.0004995284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582765,"about_ca_system_score_gemma":0.00198367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008948927,"about_ca_topic_score_gemma":0.01499292,"domain_scores_codex":[0.9960353,0.002393864,0.0001579752,0.0006664129,0.0004066965,0.000339821],"domain_scores_gemma":[0.8921751,0.09320769,0.00553791,0.00335082,0.002686708,0.003041636],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006826146,0.0006456231,0.7368816,0.0003751916,0.0009089003,0.0005187374,0.03428961,0.0115785,0.00384238,0.1350272,0.001954755,0.07329475],"study_design_scores_gemma":[0.0001030865,0.0004186124,0.7928969,0.0002435676,0.0008139641,0.0003558961,0.04465193,0.05227482,0.0009844978,0.09916409,0.007974235,0.0001183865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652335,0.0009419745,0.01257496,0.002829603,0.00006191754,0.00004647292,0.0002488609,0.00003967366,0.018023],"genre_scores_gemma":[0.9981676,0.0002038978,0.0008988225,0.00003269931,0.00002236152,0.00001945988,0.00005115781,0.00001473095,0.0005891761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9976069,"threshold_uncertainty_score":0.03502268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00903635122410042,"score_gpt":0.3110741349888299,"score_spread":0.3020377837647295,"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."}}