{"id":"W3024314855","doi":"10.21511/ppm.18(2).2020.13","title":"Formation of Lithuanian manufacturing industry clustering economic preconditions","year":2020,"lang":"en","type":"article","venue":"Problems and Perspectives in Management","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Air Transport Association","funders":"","keywords":"Productivity; General partnership; Lithuanian; Business; Human resources; Cluster analysis; Industrial organization; Value (mathematics); Quality (philosophy); Knowledge management; Economic growth; Computer science; Economics; Management","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":[0.0001205974,0.00009966686,0.000115099,0.0001955512,0.00006949349,0.000102815,0.0000823319,0.00005589454,0.0001701165],"category_scores_gemma":[0.000004283401,0.0001034644,0.00001962178,0.0001617781,0.00003419,0.001307209,0.0001170883,0.0001377524,0.00001721708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000035725,"about_ca_system_score_gemma":0.000002846185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001371579,"about_ca_topic_score_gemma":0.00006001398,"domain_scores_codex":[0.9993818,0.000004168292,0.0002415739,0.0001926231,0.00005905373,0.0001207737],"domain_scores_gemma":[0.9997512,0.000004825566,0.00014305,0.00007017796,0.00002365451,0.000007097157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000190582,0.0003221524,0.02818517,0.01111962,0.0001942037,0.00001646289,0.01146866,0.09790348,0.000783143,0.7939518,0.001251348,0.05461335],"study_design_scores_gemma":[0.004300869,0.0001050449,0.6472396,0.001062292,0.0001546302,0.000006330763,0.04315387,0.2085629,0.000935692,0.06045009,0.0326985,0.001330266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8664371,0.0001995852,0.007633758,0.008304051,0.0001741522,0.0009057256,0.000006896109,0.0001095342,0.1162292],"genre_scores_gemma":[0.9991909,0.0000708085,0.0003116581,0.0001988709,0.000139322,0.00002842403,0.00001187788,0.000009192976,0.00003898604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7335017,"threshold_uncertainty_score":0.4219156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04884274786613794,"score_gpt":0.2325486028719,"score_spread":0.1837058550057621,"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."}}