{"id":"W4413863209","doi":"10.35490/ec3.2025.234","title":"Knowledge Graph-based Customer-centric Deconstruction Assessment Model","year":2025,"lang":"en","type":"article","venue":"Computing in construction","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Computer science; Deconstruction (building); Knowledge management; Data science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009176216,0.0007386407,0.0003768622,0.002666645,0.0004660291,0.001745628,0.001755071,0.001168032,0.003761766],"category_scores_gemma":[0.002883091,0.0002965245,0.0007542687,0.002302658,0.0006946377,0.003112736,0.001357913,0.000855264,0.00049075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002211146,"about_ca_system_score_gemma":0.00216391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01505456,"about_ca_topic_score_gemma":0.01610865,"domain_scores_codex":[0.999067,0.000331372,0.00006355642,0.000198453,0.0002601008,0.00007942468],"domain_scores_gemma":[0.9984279,0.0008790094,0.0001797422,0.00008288299,0.0003527215,0.00007774161],"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":[0.00008126065,0.0002004484,0.00463736,0.0001590048,0.00007855012,0.000534785,0.0004867864,0.8585736,0.001334217,0.07660205,0.001834669,0.05547732],"study_design_scores_gemma":[0.000009813167,0.00003098837,0.0006960841,0.00002179568,0.00002962831,0.00006704759,0.0001745321,0.9756029,0.0003239129,0.02090169,0.002128646,0.00001293705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08615982,0.0002541747,0.8722198,0.001756846,0.00002787973,0.0006087521,0.001741064,0.0006232352,0.03660842],"genre_scores_gemma":[0.8369784,0.0003407439,0.1554675,0.0001503069,0.00001136107,0.0005544465,0.001215656,0.00002777409,0.005253918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01505456,"threshold_uncertainty_score":0.02993387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134286623859329,"score_gpt":0.2952770279994042,"score_spread":0.2839341617608109,"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."}}