{"id":"W4310127716","doi":"10.18280/isi.270513","title":"A Model for Countering the Information and Technical Threats of Intellectual Capital Management of Innovation-Oriented Systems in the Engineering Sector","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual capital; Capital (architecture); Process (computing); Relevance (law); Industrial organization; Business; Economic system; Economics; Knowledge management; Computer science; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0009984843,0.00008090792,0.0001557303,0.0003625099,0.0001023138,0.00007538575,0.0001441841,0.00002870648,0.000005519618],"category_scores_gemma":[0.00005946463,0.0000710823,0.00002641611,0.0004468353,0.00003466712,0.001748089,0.00005037721,0.00007046012,0.000002031635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576957,"about_ca_system_score_gemma":0.00001863816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002394349,"about_ca_topic_score_gemma":0.000002223567,"domain_scores_codex":[0.9986624,0.000005753496,0.001109474,0.00005300017,0.00005877885,0.0001106598],"domain_scores_gemma":[0.9993182,0.00006992798,0.0004344829,0.000103886,0.00006574143,0.000007756933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001059824,0.0000295867,0.001170176,0.0012844,0.00006157884,6.23922e-8,0.05173205,0.08628981,0.00001330104,0.8536377,0.0001513661,0.005524019],"study_design_scores_gemma":[0.000905834,0.0001002664,0.005960464,0.0001067398,0.000007293603,0.00001528902,0.01191915,0.9683586,0.00003180171,0.009160958,0.003250658,0.0001829796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8183087,0.0002199594,0.1733148,0.00004313976,0.0002104392,0.001029556,0.0002440709,0.00002064993,0.006608739],"genre_scores_gemma":[0.998842,0.00004015438,0.000564846,0.00004252019,0.000005639008,0.0003421879,0.0001461355,0.000003994397,0.00001251494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8820688,"threshold_uncertainty_score":0.2898652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063217598427433,"score_gpt":0.2036725834716032,"score_spread":0.1730404074873289,"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."}}