{"id":"W3011216540","doi":"10.1061/(asce)la.1943-4170.0000391","title":"Review and Survey of 4D Simulation Applications in Forensic Investigation of Delay Claims in Construction Projects","year":2020,"lang":"en","type":"article","venue":"Journal of Legal Affairs and Dispute Resolution in Engineering and Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Viewpoints; Argument (complex analysis); Computer science; Scope (computer science); Stakeholder; Dispute resolution; Event (particle physics); Risk analysis (engineering); Operations research; Law; Engineering; Business; Political science","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":[0.0002835386,0.000112321,0.0003193044,0.000322235,0.00001821016,0.00001613154,0.00002881751,0.0000935131,0.000001061476],"category_scores_gemma":[0.0000592449,0.0001149198,0.00002538579,0.0005621318,0.0001188519,0.0003588649,0.000009867655,0.0002160213,2.961417e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004442502,"about_ca_system_score_gemma":0.00004099478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008459728,"about_ca_topic_score_gemma":0.00009979518,"domain_scores_codex":[0.9989479,0.00004741399,0.0006994802,0.0001136384,0.00009975959,0.00009186464],"domain_scores_gemma":[0.9995,0.00007125637,0.0002037256,0.00004732938,0.0001184139,0.00005931414],"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":[0.0001694186,0.00003435383,0.3712649,0.005764036,0.00007153488,0.000003476392,0.001141281,0.5038328,0.005892317,0.0217242,0.00002087084,0.09008075],"study_design_scores_gemma":[0.001411046,0.0001685703,0.2763422,0.001947203,0.00007126878,0.0002193769,0.001052514,0.7169093,0.0008550492,0.0006457393,0.0001164026,0.0002613011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953704,0.008917477,0.03686122,0.0000970374,0.0001179705,0.0002489053,0.0000110914,0.00001557533,0.00002671861],"genre_scores_gemma":[0.9929277,0.003595971,0.003422461,0.0000057606,0.00002474937,0.000007415368,0.000007929933,0.000007843804,2.123241e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2130765,"threshold_uncertainty_score":0.4686293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330032548615035,"score_gpt":0.2156971594177745,"score_spread":0.2023968339316241,"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."}}