{"id":"W4246413105","doi":"10.1017/s0890060414000717","title":"AIE volume 29 issue 1 Cover and Front matter","year":2015,"lang":"en","type":"article","venue":"Artificial intelligence for engineering design analysis and manufacturing","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of South Australia; University of Cambridge; George Mason University; Massachusetts Institute of Technology; Oregon State University; University of Toronto; Carnegie Mellon University; University College London; Drexel University; Boeing; Worcester Polytechnic Institute; Aalborg Universitet; Technische Universiteit Delft; Georgia Institute of Technology","keywords":"Front cover; Volume (thermodynamics); Cover (algebra); Front (military); Environmental science; Physics; Geology; Engineering; Oceanography; Mechanical engineering; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001248637,0.0007973835,0.0007276513,0.002637138,0.001350142,0.006284879,0.0009505081,0.002277749,0.7094799],"category_scores_gemma":[0.002423184,0.0003451114,0.0005792856,0.001515713,0.0007730953,0.002159036,0.001997917,0.001884633,0.5922852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225705,"about_ca_system_score_gemma":0.001741122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001727551,"about_ca_topic_score_gemma":0.003944515,"domain_scores_codex":[0.9989408,0.00007092526,0.00003968133,0.0001274299,0.0007128103,0.0001084571],"domain_scores_gemma":[0.997712,0.0002532321,0.00005999847,0.0002574388,0.001228878,0.0004884766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005265988,0.0001208931,0.0003524011,0.0002197114,0.00001082058,0.0001036275,0.00003895819,0.0001585558,0.001398795,0.002920772,0.8575338,0.1370891],"study_design_scores_gemma":[0.000004059599,0.00001169574,0.0005850541,0.00009082073,0.000002815126,0.00007914042,0.00004147806,0.0001272022,0.0003254342,0.0005405554,0.9981874,0.000004257236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001508653,0.004074765,0.001789554,0.006445899,0.01512365,0.0001140536,0.001179751,0.00125348,0.9685102],"genre_scores_gemma":[0.003800789,0.001874182,0.0009080115,0.001062364,0.001740625,0.00002631945,0.0008827173,0.000255633,0.9894493],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2905201,"threshold_uncertainty_score":0.4143916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401772130387798,"score_gpt":0.2271561734120119,"score_spread":0.203138452108134,"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."}}