{"id":"W2998899296","doi":"10.1139/cjce-2019-0439","title":"Construction and resource short-term planning using a BIM-based ontological decision support system","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Resource (disambiguation); Process (computing); Resource planning; Term (time); Decision support system; Process management; Knowledge management; Management science; Engineering; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001938048,0.0005790866,0.0006525742,0.001852917,0.001124547,0.00274972,0.001373391,0.0008620683,0.002618028],"category_scores_gemma":[0.002143605,0.0004888801,0.0009184207,0.001675115,0.0005114821,0.002807262,0.002600595,0.0008132325,0.0007870158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203574,"about_ca_system_score_gemma":0.002888044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01014247,"about_ca_topic_score_gemma":0.01284524,"domain_scores_codex":[0.9991674,0.0002162433,0.0001267144,0.0001273849,0.0002850106,0.00007719405],"domain_scores_gemma":[0.9994478,0.0001647339,0.00006123862,0.0001235667,0.0001478799,0.00005483906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003855087,0.0007283459,0.005064612,0.0003713275,0.0001963456,0.001210078,0.00171016,0.4006338,0.0178799,0.1018554,0.01036727,0.4595972],"study_design_scores_gemma":[0.00003872931,0.00004503549,0.00101788,0.00004967083,0.00008490108,0.0001234982,0.0003349694,0.9577593,0.004556787,0.01763558,0.01830061,0.00005294062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0253939,0.0001233787,0.9612612,0.0004066315,0.00004087623,0.0002297073,0.0006592158,0.003873908,0.008011257],"genre_scores_gemma":[0.3184295,0.0002675572,0.6762901,0.000105259,0.00001847228,0.0003524393,0.001642564,0.0001249397,0.002769182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01014247,"threshold_uncertainty_score":0.02016687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853145394545027,"score_gpt":0.2026209374424802,"score_spread":0.18408948349703,"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."}}