{"id":"W2953444445","doi":"10.29173/mocs139","title":"Case Study: Program Management of Volume Modules","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modular design; Piping; Volume (thermodynamics); Modular construction; Systems engineering; Computer science; Quality (philosophy); Fabrication; Manufacturing engineering; Reliability engineering; Engineering; Mechanical engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001084008,0.0004302227,0.0002219382,0.0006877331,0.002584123,0.00122093,0.001641242,0.001954756,0.005277478],"category_scores_gemma":[0.00296071,0.0002687907,0.0003834385,0.0008577561,0.001093094,0.001256684,0.001149944,0.001146252,0.0007134703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002712221,"about_ca_system_score_gemma":0.002838567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02168905,"about_ca_topic_score_gemma":0.03139196,"domain_scores_codex":[0.9984097,0.0005268863,0.0000585451,0.0001797885,0.0004653491,0.0003595927],"domain_scores_gemma":[0.9978325,0.0008209139,0.0002078132,0.0001988632,0.0004189612,0.0005210318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001464837,0.009118845,0.1115915,0.001448719,0.0001723718,0.05042718,0.04023713,0.2224435,0.04630546,0.05621598,0.05809454,0.4024799],"study_design_scores_gemma":[0.0006059271,0.005153241,0.09534594,0.0005276832,0.0002278196,0.01518892,0.0566122,0.3131556,0.07498083,0.01674208,0.421113,0.0003466312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.890714,0.0002383433,0.05947066,0.002605702,0.00007343454,0.0009275101,0.0006316962,0.001252529,0.04408614],"genre_scores_gemma":[0.9412461,0.0001804785,0.04014441,0.0003040016,0.00003370864,0.0003018261,0.0004365775,0.000219959,0.01713302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02168905,"threshold_uncertainty_score":0.04312563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006729706625530917,"score_gpt":0.2002871877682143,"score_spread":0.1935574811426834,"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."}}