{"id":"W1991371878","doi":"10.5555/1030453.1030703","title":"CEPM 1: optimal construction project planning","year":2002,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Construction industry; Component (thermodynamics); Work (physics); Computer science; Pre-construction services; Production (economics); Industry 4.0; Systems engineering; Process management; Project planning; Engineering management; Project management; Construction engineering; Risk analysis (engineering); Engineering; Business","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":[0.001151365,0.0007787751,0.00119226,0.0009543725,0.0007207017,0.001884926,0.001639384,0.00137536,0.008949569],"category_scores_gemma":[0.002424139,0.0008308673,0.0006590114,0.001171306,0.0007201442,0.001166425,0.001729279,0.0009569318,0.001307741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412077,"about_ca_system_score_gemma":0.004554641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01677748,"about_ca_topic_score_gemma":0.01998065,"domain_scores_codex":[0.9993675,0.000171578,0.00003031456,0.0001173259,0.0001867953,0.0001264973],"domain_scores_gemma":[0.9995758,0.0001534885,0.00003922361,0.00004809276,0.0001288207,0.00005466629],"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":[0.0001129847,0.00003773416,0.000514219,0.00008706376,0.00001374306,0.000102432,0.00005243608,0.9159829,0.0007664055,0.02153929,0.006369794,0.05442099],"study_design_scores_gemma":[0.0000183634,0.00002735326,0.000177428,0.00001161889,0.000006031548,0.00003080124,0.00003285639,0.9846638,0.0006084144,0.01065242,0.003761767,0.000009174463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01395675,0.0002011584,0.965725,0.0003833795,0.00005366519,0.0002551619,0.0006554802,0.001110533,0.01765893],"genre_scores_gemma":[0.3222104,0.0003799273,0.6658791,0.0001081888,0.00004382695,0.0005919217,0.001363138,0.0002929666,0.009130467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01677748,"threshold_uncertainty_score":0.03335965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04683132176019348,"score_gpt":0.2603667320102238,"score_spread":0.2135354102500303,"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."}}