{"id":"W2242924137","doi":"","title":"Cash flow optimization and visualization of residence housing for builders","year":2013,"lang":"en","type":"article","venue":"Deakin Research Online (Deakin University)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cash flow; Cash flow forecasting; Net present value; Visualization; Computer science; Discounted cash flow; Cash; Operations research; Payment; Procurement; Finance; Business; Engineering; Production (economics); Economics; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005074252,0.0007023511,0.0003004399,0.001356772,0.0004112047,0.001314537,0.0003634525,0.0004205169,0.00462052],"category_scores_gemma":[0.001109514,0.0001885142,0.0003882056,0.0007793263,0.0002498614,0.0006110155,0.0005446167,0.0002832688,0.0002335014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006827735,"about_ca_system_score_gemma":0.0008252878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008661529,"about_ca_topic_score_gemma":0.009349555,"domain_scores_codex":[0.9998423,0.00005589319,0.000007579724,0.00002452159,0.00004511208,0.00002453744],"domain_scores_gemma":[0.9997131,0.000149604,0.0000346494,0.00001947336,0.00006147187,0.00002163658],"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":[0.0008785824,0.0002150904,0.01137755,0.0004812898,0.00005479626,0.0009261626,0.00244253,0.6284491,0.04120737,0.02639704,0.008591149,0.2789794],"study_design_scores_gemma":[0.00003283338,0.0001058812,0.006015328,0.00005760938,0.00002523711,0.0001135324,0.0006278636,0.9666334,0.01204062,0.004911668,0.00938526,0.00005079871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4790837,0.000925142,0.4773571,0.00113848,0.0001028592,0.0002505787,0.001535401,0.005847775,0.0337588],"genre_scores_gemma":[0.8325476,0.0004842441,0.1622093,0.00002965936,0.00001867129,0.00009444116,0.0003629921,0.0001335334,0.004119542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008661529,"threshold_uncertainty_score":0.01722223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673922102425552,"score_gpt":0.2950364268264285,"score_spread":0.258297205802173,"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."}}