{"id":"W3008624093","doi":"10.5267/j.msl.2020.1.018","title":"Enhancing the small medium enterprises competitive advantage through SMEs strategic alliances","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Business and Economic Development","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Competitive advantage; Industrial organization; Small and medium-sized enterprises; Process management; Marketing; Knowledge management; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003794481,0.0001696361,0.000131654,0.00002198084,0.0004170151,0.0002346476,0.001088352,0.00001292246,0.00105726],"category_scores_gemma":[0.000007937875,0.0001203793,0.00003996172,0.0004542615,0.0008801522,0.0006012857,0.0007353508,0.00009435463,0.0007890937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366719,"about_ca_system_score_gemma":0.000006960778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005620679,"about_ca_topic_score_gemma":0.00004965564,"domain_scores_codex":[0.9983214,0.00002147172,0.0002360208,0.0005729825,0.0003799488,0.0004681985],"domain_scores_gemma":[0.9995548,0.00002758058,0.0001017959,0.000224003,0.00000269868,0.00008914201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002406719,0.0005669437,0.4236312,0.0006316265,0.0004468587,0.0009001943,0.06837942,0.04523474,0.3296669,0.05059334,0.03628315,0.04342491],"study_design_scores_gemma":[0.002156975,0.0002173684,0.507044,0.0003061772,0.0001234041,0.00001758004,0.1081274,0.006994155,0.05014248,0.003313917,0.3187753,0.002781294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7775273,0.00003145046,0.01465573,0.09438299,0.0007541715,0.0006235777,0.000003191773,0.0001075093,0.1119141],"genre_scores_gemma":[0.9588342,0.00007156782,0.004237959,0.03659966,0.0000507031,0.00003383852,0.000001861468,0.000008618212,0.0001616368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2824922,"threshold_uncertainty_score":0.9999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202631206464825,"score_gpt":0.2160651254614512,"score_spread":0.1940388133968029,"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."}}