{"id":"W2954311262","doi":"10.29173/mocs137","title":"Site-specific Modular Design Optimization for High-rise Residential Buildings","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modular design; Set (abstract data type); Genetic algorithm; Plan (archaeology); Computer science; Building design; Daylighting; Efficient energy use; Page layout; Reliability engineering; Engineering; Architectural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002449323,0.0003618308,0.0003584606,0.0003652655,0.0002606976,0.0003569519,0.0001391092,0.0003109948,0.000332894],"category_scores_gemma":[0.00002271576,0.0003942542,0.0001167342,0.0003539008,0.0001325591,0.0008612919,0.00003252044,0.0002390333,0.00004907489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001178982,"about_ca_system_score_gemma":0.00002139402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001591442,"about_ca_topic_score_gemma":0.000002822489,"domain_scores_codex":[0.9982573,0.00001416357,0.0004869252,0.000575697,0.0002854223,0.0003804706],"domain_scores_gemma":[0.9991126,0.00003139204,0.000138411,0.0001705889,0.0004084536,0.0001385422],"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":[0.000846558,0.0000876615,0.01892868,0.001187923,0.0004204614,0.000005220454,0.000996624,0.3593579,0.341469,0.1073313,0.01801167,0.151357],"study_design_scores_gemma":[0.004131132,0.0003323737,0.001476733,0.0002547368,0.0002240763,0.0001577863,0.001102339,0.8335941,0.09819704,0.005566653,0.0534289,0.001534137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5578787,0.0005665271,0.4385537,0.00007245319,0.001348585,0.0007470724,0.00002331248,0.0004196375,0.0003900603],"genre_scores_gemma":[0.8763366,0.000470118,0.1220362,0.00003320004,0.0004320989,0.0001125229,0.00006309557,0.00008614066,0.0004300077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4742362,"threshold_uncertainty_score":0.9998509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007363822194697756,"score_gpt":0.179860351661246,"score_spread":0.1724965294665482,"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."}}