{"id":"W4386309263","doi":"10.1002/iis2.13007","title":"Understanding Interface Criticality in Large Infrastructure Projects","year":2023,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada)","funders":"","keywords":"Interface (matter); Criticality; Key (lock); Computer science; Failure mode, effects, and criticality analysis; Critical infrastructure; Process management; Risk analysis (engineering); Business; Computer security","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":[0.01547905,0.0005813905,0.0004069927,0.008537268,0.001686602,0.007205585,0.0009802431,0.001113036,0.00210097],"category_scores_gemma":[0.06101124,0.000561996,0.0002972245,0.003675695,0.003461587,0.007538082,0.004112952,0.00168472,0.0001992899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00617646,"about_ca_system_score_gemma":0.003548958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128224,"about_ca_topic_score_gemma":0.01018202,"domain_scores_codex":[0.9890977,0.005962892,0.0007380247,0.0005446606,0.002672083,0.0009846239],"domain_scores_gemma":[0.8992844,0.06626885,0.01688448,0.001717634,0.01354555,0.002299165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007359093,0.0006649081,0.4641281,0.0009951983,0.0002050874,0.002895445,0.121714,0.06176154,0.008453548,0.07370502,0.002709981,0.2620313],"study_design_scores_gemma":[0.00004395585,0.0009918163,0.4794005,0.001711683,0.0001258579,0.001292413,0.2645982,0.136058,0.006498083,0.08703686,0.02200662,0.00023605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963824,0.0005165759,0.0186347,0.0008431804,0.00001248532,0.0001620864,0.0000542589,0.00004998716,0.01590271],"genre_scores_gemma":[0.9963143,0.0001763359,0.00316417,0.00001665405,0.000005054791,0.00003222305,0.0000209747,0.000007036694,0.0002632318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01547905,"threshold_uncertainty_score":0.08186203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1723555537947321,"score_gpt":0.4092087011165746,"score_spread":0.2368531473218425,"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."}}