{"id":"W2147317472","doi":"10.1061/9780784412329.039","title":"Finance-Based Scheduling for Multiple Projects with Multimode Activities","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cash flow; Finance; Scheduling (production processes); Population; Genetic algorithm; Operations research; Business; Operations management; Economics; Engineering","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":[0.001039107,0.0004442004,0.0007023541,0.0007941217,0.0005935811,0.0008125001,0.0007604521,0.0006242685,0.002724429],"category_scores_gemma":[0.001379929,0.000340195,0.0006382552,0.001013224,0.0003799521,0.0005769547,0.0007333971,0.000471381,0.000180247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469926,"about_ca_system_score_gemma":0.002213599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006429531,"about_ca_topic_score_gemma":0.008144661,"domain_scores_codex":[0.9995884,0.0001486425,0.00001711784,0.00006607884,0.00008207159,0.00009760511],"domain_scores_gemma":[0.9995735,0.0001848186,0.00008133994,0.00002389537,0.00005608799,0.00008026314],"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":[0.00008280425,0.00006238214,0.0009306222,0.00003563537,0.00001494079,0.00009245978,0.00003900507,0.9665145,0.001399445,0.00456383,0.0002908179,0.02597367],"study_design_scores_gemma":[0.00001867997,0.00009719285,0.0005414319,0.000005289202,0.00000730079,0.0000275271,0.00002922793,0.9952696,0.0006371233,0.002706872,0.0006540277,0.000005691546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3309692,0.0001979648,0.659439,0.0002484191,0.00005442978,0.0003710849,0.0001999068,0.0001891604,0.008330756],"genre_scores_gemma":[0.9072345,0.0001205548,0.08911275,0.00001655869,0.0000106833,0.0002267473,0.0001340961,0.00002306061,0.003120885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006429531,"threshold_uncertainty_score":0.01278418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2749705436613488,"score_gpt":0.4509779102217301,"score_spread":0.1760073665603813,"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."}}