{"id":"W4323566250","doi":"10.1201/9781003354222-41","title":"Predicting semantic building information (BIM) with Recurrent Neural Networks","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Building information modeling; Computer science; Artificial neural network; Artificial intelligence; Engineering; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000547645,0.0007654509,0.000430878,0.0006965738,0.0001557679,0.0005974,0.0009042218,0.0006576609,0.0009958437],"category_scores_gemma":[0.001624734,0.0004286152,0.0005125165,0.0008702771,0.0003068466,0.0009468037,0.0006257992,0.0007912781,0.0003750562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005576419,"about_ca_system_score_gemma":0.0003096487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007083256,"about_ca_topic_score_gemma":0.009503305,"domain_scores_codex":[0.9998451,0.00003818217,0.000007210378,0.00005031354,0.00004004408,0.00001913913],"domain_scores_gemma":[0.9996569,0.0002026052,0.00003916418,0.00002593955,0.00006441393,0.00001085373],"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":[0.00007433358,0.00006630498,0.001638931,0.00005275053,0.00004689591,0.00008113906,0.00006377923,0.8328923,0.003340821,0.003222925,0.001346813,0.1571731],"study_design_scores_gemma":[7.101058e-7,0.000005119163,0.0001470598,0.000001927821,0.000002905808,0.000003212724,0.00000230503,0.9986205,0.0003351193,0.0007826993,0.00009648878,0.000001845864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1710166,0.0009759896,0.8213592,0.0003573119,0.00009710684,0.00004817904,0.0003384869,0.001457985,0.004349193],"genre_scores_gemma":[0.8454839,0.000554065,0.1480754,0.00007738466,0.00004674025,0.00009168698,0.0008419301,0.00007882113,0.004749988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007083256,"threshold_uncertainty_score":0.0140841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009826756204418731,"score_gpt":0.1876239299483475,"score_spread":0.1777971737439288,"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."}}