{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001538716,0.00008547361,0.0001046743,0.0002445332,0.00002976014,0.00002783932,0.0000693205,0.00005798241,0.00000168648],"category_scores_gemma":[0.00003199207,0.00009377883,0.00001886122,0.0003446426,0.00004436095,0.0002413568,0.00003240938,0.0002740726,7.827621e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007682048,"about_ca_system_score_gemma":0.00002536055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001348526,"about_ca_topic_score_gemma":0.000001974906,"domain_scores_codex":[0.9994211,0.00001431614,0.0002280371,0.0001465653,0.00008146455,0.0001084814],"domain_scores_gemma":[0.9998175,0.00003730273,0.00002679208,0.00008514072,0.00002322533,0.00001004536],"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":[0.00000317797,0.00000434668,0.00624389,0.0004478328,0.000009184583,0.000002183933,0.0002297555,0.8121085,0.004428404,0.001306274,0.00005120977,0.1751653],"study_design_scores_gemma":[0.00006021276,0.00001087367,0.0001248467,0.0003608325,0.000004050165,0.00003238947,0.000018045,0.992617,0.004780432,0.001633336,0.0002910138,0.00006702647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1271952,0.0007297555,0.8691012,0.000004169478,0.000349986,0.00008889735,0.00001601739,0.001642038,0.0008727997],"genre_scores_gemma":[0.8843431,0.00009387617,0.1154613,9.172797e-7,0.00004315809,0.000003439124,0.00002934699,0.00002029584,0.000004565409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7571479,"threshold_uncertainty_score":0.382419,"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."}}