{"id":"W4404647673","doi":"10.5109/7323308","title":"Scan to BIM for Building Asset Management","year":2024,"lang":"en","type":"article","venue":"Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Universiti Tun Hussein Onn Malaysia","keywords":"Asset management; Facility management; Business; Asset (computer security); Construction engineering; Engineering; Computer science; Finance; Marketing; 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":[0.001143124,0.0006991792,0.0004987419,0.003029476,0.0004658554,0.002486769,0.0008693144,0.0006343531,0.01028781],"category_scores_gemma":[0.002643901,0.0004413266,0.0008707863,0.004282546,0.0006927836,0.002565735,0.002569632,0.00100426,0.003334834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009626546,"about_ca_system_score_gemma":0.001356117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002690437,"about_ca_topic_score_gemma":0.003654608,"domain_scores_codex":[0.9984283,0.0004275367,0.00008126543,0.0001288874,0.0008633772,0.00007055946],"domain_scores_gemma":[0.9991387,0.0002208461,0.00007966693,0.0002216823,0.0002984399,0.00004057015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005870724,0.0000867525,0.003623729,0.0005553476,0.00008528121,0.0003225916,0.0006811955,0.02948962,0.006085945,0.1316657,0.0286007,0.7987445],"study_design_scores_gemma":[0.00002713986,0.0001723057,0.006922645,0.0007082761,0.000115274,0.001185832,0.00162687,0.1825155,0.01992976,0.1315712,0.6551043,0.0001209239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02028861,0.004451928,0.8774129,0.002341262,0.0004609171,0.000263549,0.002268627,0.006139405,0.08637296],"genre_scores_gemma":[0.2247756,0.00692025,0.7430009,0.0006981188,0.0001864158,0.0003916573,0.004124783,0.0007576823,0.01914462],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01028781,"threshold_uncertainty_score":0.03441608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675941931741522,"score_gpt":0.2780022829575381,"score_spread":0.2512428636401229,"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."}}