{"id":"W4408250952","doi":"10.1016/j.iref.2025.104034","title":"Technological diversification and resilience to systematic risk: Evidence from listed firms in China","year":2025,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Science and Technology Program of Zhejiang Province; National Social Science Fund of China; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China; Zhejiang Office of Philosophy and Social Science","keywords":"Diversification (marketing strategy); China; Resilience (materials science); Business; Systematic risk; Economics; Financial economics; Political science; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.0005976144,0.00009912226,0.0002777962,0.000225531,0.00004008213,0.00005609166,0.0005429735,0.00003373525,0.00002832871],"category_scores_gemma":[0.001343778,0.00008609419,0.00004380008,0.0003059729,0.00007254707,0.0004580579,0.0002966328,0.00007520715,0.00004656057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007406522,"about_ca_system_score_gemma":0.00001335362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006889823,"about_ca_topic_score_gemma":0.0001361816,"domain_scores_codex":[0.9990314,0.0000131821,0.0004802887,0.0003048701,0.00007474713,0.00009556229],"domain_scores_gemma":[0.9991631,0.0001487257,0.0003642759,0.0002508344,0.00006852503,0.000004572204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001014861,0.0001984823,0.5806602,0.03985509,0.00008976621,0.00001001076,0.0001024949,0.003445788,0.0000799758,0.2684901,0.003846503,0.1031201],"study_design_scores_gemma":[0.0002493575,0.00001076589,0.8655919,0.09242778,0.00006548816,3.97555e-7,0.0001015313,0.02038572,0.0000528993,0.008748015,0.01214608,0.0002200716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733158,0.01605974,0.001386754,0.006198104,0.0002519544,0.0008304572,0.000009150825,0.00001899809,0.001929056],"genre_scores_gemma":[0.9315644,0.06697991,0.0004223067,0.0007894249,0.00002774979,0.00007889948,0.000006751151,0.00000307117,0.0001274722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2849317,"threshold_uncertainty_score":0.3510819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412153767594773,"score_gpt":0.2558106168455695,"score_spread":0.2416890791696218,"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."}}