{"id":"W2955620045","doi":"10.29173/mocs99","title":"Calibrating CII RT283’s Modularization Critical Success Factor Accomplishments","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Texas at Austin","keywords":"Modular programming; Modular design; Critical success factor; Computer science; Sample (material); Project management; Estimation; Operations management; Engineering; Systems engineering; Knowledge management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009117776,0.0003181963,0.0003070918,0.0002427579,0.0002317229,0.0004382959,0.0001390938,0.0002615009,0.0003626694],"category_scores_gemma":[0.00004196951,0.0003337192,0.00008436841,0.0003454488,0.0001484003,0.001583965,0.00005126846,0.0003258573,0.00005026457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008731434,"about_ca_system_score_gemma":0.00001999679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000170554,"about_ca_topic_score_gemma":0.000004857535,"domain_scores_codex":[0.9983951,0.00001276253,0.000443233,0.0004662731,0.0003239142,0.0003586564],"domain_scores_gemma":[0.9993175,0.00002605016,0.00008130305,0.0001397453,0.000271435,0.0001639699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005348543,0.00004686287,0.6957836,0.0007964603,0.0001656308,0.000003176009,0.0006806201,0.0007533827,0.09825086,0.07902756,0.0005872961,0.123851],"study_design_scores_gemma":[0.003955681,0.0003040712,0.1357998,0.0007598264,0.0002631591,0.0004829311,0.004915802,0.705738,0.1141374,0.009930849,0.0205555,0.003156953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697556,0.0002131848,0.02316778,0.0001213734,0.001689032,0.0003391771,0.00003227708,0.0005386997,0.004142828],"genre_scores_gemma":[0.9954608,0.00005340438,0.003895253,0.00006896425,0.0002328628,0.00002866794,0.00003945072,0.00004949332,0.0001711055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7049846,"threshold_uncertainty_score":0.9999115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006448496017031013,"score_gpt":0.2036305984249942,"score_spread":0.1971821024079632,"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."}}