{"id":"W2168852977","doi":"10.1061/(asce)0733-9364(2002)128:5(438)","title":"Enhancing Project Evaluation and Review Technique Simulation through Artificial Neural Network-based Input Modeling","year":2002,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"BIM and Construction Integration","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Artificial neural network; Computer science; Beta distribution; Probability distribution; Merge (version control); Sampling (signal processing); Artificial intelligence; Data mining; Statistics; Machine learning; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.004043411,0.0005598409,0.0005147829,0.0007419933,0.0002933549,0.001044465,0.0008845426,0.0004734795,0.0009920227],"category_scores_gemma":[0.01725878,0.0002871129,0.0003753652,0.0007944601,0.000287079,0.001129497,0.0005697097,0.0005008989,0.0001787457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223652,"about_ca_system_score_gemma":0.001121113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004337293,"about_ca_topic_score_gemma":0.004805071,"domain_scores_codex":[0.9968423,0.00193532,0.0001785016,0.000217053,0.000720466,0.0001064182],"domain_scores_gemma":[0.9915418,0.005260996,0.0008141409,0.0005397995,0.001760282,0.00008305778],"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":[0.00008929667,0.00009172149,0.004796565,0.00007814053,0.0000329478,0.00005581885,0.0001544212,0.9418415,0.001364612,0.003565855,0.0002682314,0.04766089],"study_design_scores_gemma":[0.000006862431,0.0000341867,0.0005579045,0.000007727693,0.000006888165,0.00001057411,0.00001492952,0.9968125,0.001211299,0.001022046,0.000308538,0.00000648811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1307206,0.00005341399,0.8631389,0.0001644616,0.00002079498,0.0001949191,0.0001113103,0.00063248,0.004963157],"genre_scores_gemma":[0.8175995,0.0001107075,0.1805619,0.0000373215,0.00001362775,0.0003756252,0.0001453284,0.00004676697,0.00110922],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004337293,"threshold_uncertainty_score":0.02138388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666059040471142,"score_gpt":0.2570156965044356,"score_spread":0.2303551060997242,"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."}}