{"id":"W3016358634","doi":"10.3846/jbem.2020.12395","title":"TRANSATLANTIC AFFILIATIONS OF SCIENTIFIC COLLABORATION IN STRATEGIC MANAGEMENT: A QUARTER-CENTURY OF BIBLIOMETRIC EVIDENCE","year":2020,"lang":"en","type":"article","venue":"Journal of Business Economics and Management","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Narodowa Agencja Wymiany Akademickiej","keywords":"Scopus; Quarter (Canadian coin); Web of science; Regional science; Position (finance); Political science; Field (mathematics); Bibliometrics; Institution; Identification (biology); Library science; Sociology; Geography; Business; Computer science; 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01690009,0.0003621256,0.0007558272,0.05210418,0.001570816,0.01142737,0.0009208,0.001616186,0.002978103],"category_scores_gemma":[0.06565101,0.0003645065,0.000618416,0.08448958,0.005343431,0.01409399,0.004967371,0.001283922,0.0004085622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201774,"about_ca_system_score_gemma":0.002148664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003694552,"about_ca_topic_score_gemma":0.006045688,"domain_scores_codex":[0.9864623,0.005277604,0.002338419,0.00188776,0.003632575,0.0004014264],"domain_scores_gemma":[0.7929065,0.1559498,0.02597171,0.008977748,0.01450733,0.001686972],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001828026,0.00009174971,0.3837797,0.006543173,0.001090068,0.0004228161,0.02175516,0.001109568,0.0008291232,0.06788865,0.004399652,0.5119075],"study_design_scores_gemma":[0.00001883965,0.0001284847,0.7204162,0.01526842,0.0008290994,0.001776374,0.05752625,0.003017932,0.001655433,0.04565972,0.1534887,0.0002145703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5175491,0.3847523,0.009177618,0.02014282,0.000985906,0.00006564124,0.001649229,0.00007166445,0.06560569],"genre_scores_gemma":[0.902284,0.09109651,0.003581416,0.0007070384,0.0009661983,0.00002942205,0.0006776467,0.00002981534,0.0006279454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9830999,"threshold_uncertainty_score":0.08937728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.397931602640586,"score_gpt":0.4593458547992518,"score_spread":0.06141425215866586,"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."}}