{"id":"W4410125903","doi":"10.1177/2977657020190407","title":"Study of Building Information Modelling Implementation For Sanctioning And Town Planning Procedure","year":2019,"lang":"en","type":"article","venue":"Journal of Real Estate Construction & Management","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Environmental planning; Town planning; Business; Computer science; Civil engineering; Engineering; Geography; Urban planning","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":[0.003087755,0.0003042003,0.0003269647,0.0006258195,0.0009460692,0.001923218,0.001824343,0.0009976008,0.009183435],"category_scores_gemma":[0.01558108,0.0003750696,0.0004843837,0.0006460804,0.0004493553,0.001494951,0.0006208257,0.001240236,0.0008306733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776178,"about_ca_system_score_gemma":0.002654765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578152,"about_ca_topic_score_gemma":0.009838199,"domain_scores_codex":[0.9972518,0.001372179,0.0001280111,0.0002444107,0.0007100073,0.0002935718],"domain_scores_gemma":[0.9881018,0.007701624,0.0003931531,0.001722875,0.001685595,0.000394891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003056826,0.006586345,0.06011151,0.0008711927,0.0001960352,0.001756419,0.009306238,0.4044785,0.04243604,0.0770017,0.008476299,0.3857229],"study_design_scores_gemma":[0.0001503954,0.0009909485,0.02250357,0.0001001827,0.0002150014,0.0002001474,0.003953729,0.9285557,0.02430376,0.004045506,0.01488726,0.0000938277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114134,0.00008819578,0.05644881,0.0004195159,0.00006737949,0.0004615007,0.0002733227,0.001181527,0.02964636],"genre_scores_gemma":[0.9706587,0.00004065724,0.02564631,0.00002309984,0.00000444838,0.00007742573,0.0001894854,0.00007983848,0.003280127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01578152,"threshold_uncertainty_score":0.03137934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749523181613041,"score_gpt":0.2897111201710333,"score_spread":0.2722158883549029,"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."}}