{"id":"W4287072885","doi":"","title":"HIGH-TECH INDUSTRY CLUSTERS: EXAMPLE OF AVIATION CLUSTERS","year":2021,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aviation; High tech; Cluster (spacecraft); Business; Aeronautics; Aerospace engineering; Engineering; Computer science; Geography; Operating system; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003056279,0.0002811154,0.0001588972,0.002074513,0.002554177,0.002174292,0.0005291846,0.0007612184,0.01415967],"category_scores_gemma":[0.0008938616,0.00009135826,0.0003099996,0.008658933,0.000726101,0.001191586,0.001571478,0.0005449654,0.002038146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016293,"about_ca_system_score_gemma":0.001310925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02686775,"about_ca_topic_score_gemma":0.03420446,"domain_scores_codex":[0.9994279,0.0001417785,0.00002042221,0.00007149504,0.0001564927,0.0001819224],"domain_scores_gemma":[0.9990133,0.0001618746,0.0001240864,0.00008351621,0.0003521871,0.0002650932],"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":[0.0005445025,0.0003243697,0.09262469,0.0008597659,0.00007954416,0.009562524,0.01880382,0.01410162,0.002498213,0.5495454,0.1880367,0.1230189],"study_design_scores_gemma":[0.00007294137,0.0001073364,0.09233507,0.0001836641,0.00004215991,0.003692776,0.03270422,0.01386227,0.001848612,0.05811397,0.796972,0.00006505874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3989933,0.003087037,0.01886207,0.005320208,0.000324075,0.0003653789,0.004820895,0.0005754047,0.5676516],"genre_scores_gemma":[0.9359431,0.0012659,0.01140299,0.0002607343,0.00005814662,0.00008556271,0.002338392,0.00008735302,0.0485578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02686775,"threshold_uncertainty_score":0.05342269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945063135210081,"score_gpt":0.1804091920217015,"score_spread":0.1509585606696007,"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."}}