{"id":"W2937475472","doi":"10.29173/mocs44","title":"Evaluation of Existing Layout Improvement and Creation Algorithms for Use in the Offsite Construction Industry","year":2018,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inefficiency; Quality (philosophy); Process (computing); Risk analysis (engineering); Computer science; Engineering; Construction engineering; Manufacturing engineering; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002550673,0.001685162,0.001171755,0.002445718,0.0005824319,0.00176265,0.001742012,0.001094591,0.003658324],"category_scores_gemma":[0.00711603,0.0006299417,0.0009697691,0.002064594,0.0004337785,0.00134543,0.0007063437,0.0006573162,0.0006741879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772388,"about_ca_system_score_gemma":0.001996902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007584118,"about_ca_topic_score_gemma":0.009942561,"domain_scores_codex":[0.998144,0.0006327467,0.0001224034,0.0002673618,0.0006781043,0.000155298],"domain_scores_gemma":[0.9940873,0.003458374,0.0004984714,0.0004847333,0.00134737,0.0001237107],"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":[0.0003967694,0.0005597651,0.00519972,0.00100262,0.0001029687,0.0001333714,0.0002215055,0.56036,0.006755525,0.002814791,0.002125412,0.4203276],"study_design_scores_gemma":[0.00006921493,0.0006248851,0.002428981,0.0001208786,0.00008619244,0.00009240885,0.0002203366,0.9822221,0.007754492,0.0008834249,0.005464243,0.00003289473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2341706,0.003067268,0.7391253,0.0002604531,0.0001527359,0.0007659625,0.0005563317,0.004601533,0.01729994],"genre_scores_gemma":[0.3366382,0.001284876,0.6583475,0.00004847923,0.00001831169,0.0002766931,0.0007558568,0.0003654262,0.002264675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007584118,"threshold_uncertainty_score":0.01507998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05463544794387017,"score_gpt":0.2873107308018266,"score_spread":0.2326752828579564,"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."}}