{"id":"W4401457706","doi":"10.35490/ec3.2024.196","title":"Machine Learning Model Prediction of Project Success","year":2024,"lang":"en","type":"article","venue":"Computing in construction","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence","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":[0.00229985,0.0007145583,0.000586884,0.001246081,0.0003098814,0.0009903286,0.000937747,0.0008905949,0.002021821],"category_scores_gemma":[0.0071264,0.0002601195,0.0005981683,0.001182453,0.000291,0.0008095815,0.0003844251,0.001291051,0.0007022339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034767,"about_ca_system_score_gemma":0.001148529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01894717,"about_ca_topic_score_gemma":0.01475411,"domain_scores_codex":[0.9994904,0.000185072,0.00003699951,0.0001186001,0.00009019382,0.0000786734],"domain_scores_gemma":[0.9950906,0.003762281,0.0002932386,0.0001521268,0.0006085042,0.0000932148],"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":[0.00008160688,0.0001932286,0.01620442,0.00003417339,0.00006093222,0.00003929712,0.00003897394,0.9493426,0.0002586895,0.001231643,0.001304423,0.03120992],"study_design_scores_gemma":[0.000002701823,0.00001255485,0.001001355,0.000003403261,0.000002817633,0.000002774526,0.000005466329,0.9982069,0.00005328223,0.0006206956,0.00008600025,0.000002060549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8002437,0.0007698887,0.1883939,0.001438937,0.0001562655,0.0001774824,0.002089647,0.000730927,0.005999206],"genre_scores_gemma":[0.9742434,0.0002656417,0.02034545,0.00005975004,0.00004533461,0.0001700782,0.001465894,0.00002042748,0.003384077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01894717,"threshold_uncertainty_score":0.03767377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781342954012309,"score_gpt":0.2707859817376815,"score_spread":0.2529725521975584,"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."}}