{"id":"W4280569001","doi":"10.3390/app12105037","title":"Cybersecurity Vulnerabilities in Off-Site Construction","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"BIM and Construction Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer security; Internet of Things; Construction industry; Industry 4.0; Work (physics); Critical infrastructure; Computer science; Risk analysis (engineering); Business; Engineering; Construction engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002210206,0.0005565266,0.0003098965,0.003920097,0.001287453,0.003818778,0.0007309814,0.001909305,0.002074413],"category_scores_gemma":[0.004137287,0.0003357401,0.0005107263,0.002551815,0.003114801,0.006478791,0.003142851,0.001788894,0.0004371956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001846307,"about_ca_system_score_gemma":0.001670843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621757,"about_ca_topic_score_gemma":0.001740189,"domain_scores_codex":[0.9969812,0.0007396456,0.0001825192,0.000221184,0.001523194,0.0003522598],"domain_scores_gemma":[0.9954065,0.002391342,0.0008364155,0.0004964749,0.0007560612,0.0001131175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005117132,0.0001096058,0.0160312,0.001834335,0.0000812693,0.001762053,0.006806848,0.00842023,0.002600732,0.5914381,0.01410662,0.3567578],"study_design_scores_gemma":[0.000008769328,0.0001857477,0.02083336,0.008225112,0.000200201,0.009445894,0.01401837,0.01257482,0.01109302,0.3420296,0.5812117,0.0001734066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2823517,0.198552,0.1378264,0.03362853,0.001053364,0.0003314202,0.0003700778,0.0008461855,0.3450404],"genre_scores_gemma":[0.8806286,0.08601135,0.02029304,0.002214302,0.0002320306,0.00009878536,0.0002175885,0.00008580312,0.01021854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003920097,"threshold_uncertainty_score":0.01339602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008351349716872505,"score_gpt":0.2004828659685329,"score_spread":0.1921315162516604,"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."}}