{"id":"W4399194924","doi":"10.1007/s42524-024-0303-7","title":"A taxonomy of built asset information coupling","year":2024,"lang":"en","type":"article","venue":"Frontiers of Engineering Management","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Taxonomy (biology); Computer science; Asset (computer security); Business; Ecology; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002125942,0.0001330928,0.0001714202,0.0006159871,0.00002000766,0.0001300075,0.0002733811,0.00003886617,0.00004311328],"category_scores_gemma":[0.00002539207,0.0001312325,0.00006764611,0.0005739485,0.00002276964,0.001904399,0.0001678145,0.00007178636,0.00004784708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002383749,"about_ca_system_score_gemma":0.000006431781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006406032,"about_ca_topic_score_gemma":9.651618e-7,"domain_scores_codex":[0.9991496,5.991029e-7,0.0003403855,0.0001288319,0.0002164485,0.0001641063],"domain_scores_gemma":[0.9995849,0.000009101099,0.00010231,0.0002194299,0.00007715596,0.0000071095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005491129,0.0001059213,0.004439974,0.01366253,0.0007339615,0.00002052683,0.00007238594,0.2541275,0.000455936,0.2211727,0.4329445,0.0722092],"study_design_scores_gemma":[0.0000829931,0.000004030293,0.001256606,0.0002505658,0.00007751638,3.32144e-7,0.00009800322,0.3280497,0.0002369228,0.0001603722,0.6696406,0.0001422725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01127108,0.001186993,0.9738742,0.00017941,0.002832239,0.0004546231,0.00001781584,0.0002469532,0.009936669],"genre_scores_gemma":[0.9868939,0.00008731924,0.01244159,0.00004835376,0.0002147516,0.00004927106,0.0000979118,0.00001949191,0.0001474043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9756228,"threshold_uncertainty_score":0.5351507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598914100743043,"score_gpt":0.2215507407611073,"score_spread":0.1955615997536769,"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."}}