{"id":"W4318474275","doi":"10.3311/ccc2022-019","title":"Clash Avoidance in BIM Based Multidisciplinary Coordination: A Literature Overview","year":2022,"lang":"en","type":"article","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multidisciplinary approach; Process (computing); Inefficiency; Computer science; Documentation; Situation awareness; Process management; Knowledge management; Principal (computer security); Situational ethics; Work (physics); Risk analysis (engineering); Systems engineering; Engineering; Business; Computer security; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007674054,0.00007240206,0.00006981062,0.0001135723,0.00007350649,0.00002404073,0.00006633944,0.00003189233,0.0009181086],"category_scores_gemma":[0.000004165759,0.00007262826,0.00003204701,0.0005025882,0.000008446735,0.0001167574,0.00002079608,0.0002222981,0.00001198143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009697965,"about_ca_system_score_gemma":0.00001596536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004610341,"about_ca_topic_score_gemma":0.00004371719,"domain_scores_codex":[0.9995504,0.00003085593,0.0001270502,0.0001008793,0.0001036252,0.00008716726],"domain_scores_gemma":[0.9998269,0.00002004724,0.00001195716,0.0001014263,0.00002025524,0.00001938318],"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":[0.00006987093,0.0001788859,0.01752045,0.0005048695,0.00003750623,0.00006953469,0.002877934,0.5766619,0.00688516,0.2828027,0.02594247,0.08644876],"study_design_scores_gemma":[0.0007503784,0.0000402472,0.0070481,0.00007065713,0.000004046548,0.00002710482,0.0005808693,0.9475995,0.0007852298,0.002800029,0.04003994,0.0002538878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8418485,0.01695589,0.05777452,0.004973636,0.004530901,0.001006556,0.0001571822,0.00185787,0.07089493],"genre_scores_gemma":[0.997761,0.00002229138,0.001304585,0.0001069979,0.00003312227,0.0001176428,0.00003681769,0.00001025671,0.0006072894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3709376,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046160064749198,"score_gpt":0.2253086237540453,"score_spread":0.2148470231065533,"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."}}