{"id":"W4412754814","doi":"10.11159/iccste25.182","title":"Benefits of Last Planner System and Asana Integration in Improving Finish Planning","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Planner; Computer science; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005113334,0.0001106791,0.0001284046,0.0001805478,0.00002450843,0.0000316488,0.00009896272,0.00005656344,0.000004129264],"category_scores_gemma":[0.000013656,0.00008959181,0.00002473413,0.0001347956,0.000025596,0.0001980689,0.00000600886,0.0001348906,4.026907e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002844091,"about_ca_system_score_gemma":0.000007976313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002466169,"about_ca_topic_score_gemma":0.00005752862,"domain_scores_codex":[0.9994038,0.000001145996,0.0002820939,0.0001140033,0.0001263063,0.0000726045],"domain_scores_gemma":[0.999746,0.00001886515,0.00007133558,0.0000269605,0.0001207167,0.00001614467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006409328,0.000005764625,0.05228288,0.0008473429,0.00007079414,2.829825e-7,0.001361759,0.05238105,0.07281308,0.7984431,0.00001414758,0.02171564],"study_design_scores_gemma":[0.000514631,0.00002855638,0.5962275,0.002103107,0.0000271914,0.000006594143,0.001553716,0.3483657,0.05000501,0.0009826132,0.00001387536,0.0001715002],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972596,0.00009999164,0.0005169268,0.00006964023,0.0003763968,0.00009673084,0.00003495497,0.00004233772,0.001503484],"genre_scores_gemma":[0.9997004,0.00002007315,0.0002189975,0.000005324758,0.00001724004,0.00001084953,0.000008578644,0.000006109303,0.00001240351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7974606,"threshold_uncertainty_score":0.3653448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00927032829785801,"score_gpt":0.2019607148008318,"score_spread":0.1926903865029738,"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."}}