{"id":"W4310841199","doi":"10.18280/ijsse.120511","title":"Modeling of the Assessment System of the Main Risks of Investing in Engineering Enterprises in the Conditions of the Development of the Knowledge Economy","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); Risk analysis (engineering); Context (archaeology); Process (computing); Investment (military); Computer science; Process management; Business; Knowledge management; Management science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001600404,0.0006053905,0.0004176351,0.00118307,0.0005656836,0.002570793,0.001058568,0.001559276,0.004220868],"category_scores_gemma":[0.003643652,0.0003267951,0.0009675614,0.000676338,0.0008896539,0.001648478,0.001283376,0.0008223295,0.0002783943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210623,"about_ca_system_score_gemma":0.002608506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008754086,"about_ca_topic_score_gemma":0.004366833,"domain_scores_codex":[0.9993,0.000331455,0.00003453692,0.000122857,0.0001131248,0.00009800323],"domain_scores_gemma":[0.998657,0.0007816555,0.0002286846,0.00006130453,0.000204754,0.0000665754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000550404,0.00007382955,0.00786066,0.00007980991,0.00005312441,0.0002411092,0.0004750455,0.8446668,0.001299039,0.1380333,0.0003817001,0.006780595],"study_design_scores_gemma":[0.00001012547,0.00005618797,0.002269547,0.00003672355,0.00003970077,0.00007384324,0.0002094294,0.9595616,0.0003803616,0.03620681,0.00113856,0.00001698505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3766454,0.0005034874,0.5657446,0.001592797,0.00004332165,0.0002644862,0.0004809903,0.000248287,0.0544767],"genre_scores_gemma":[0.9721025,0.0002761316,0.02196511,0.00002887363,0.00001111338,0.0002301564,0.0001190936,0.00001996641,0.005247108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008754086,"threshold_uncertainty_score":0.01740623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535225728371517,"score_gpt":0.233697348775285,"score_spread":0.2183450914915699,"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."}}