{"id":"W4392047802","doi":"10.1139/cjce-2024-0027","title":"Capturing and modeling reality to enhance the built environment","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of British Columbia, Okanagan Campus; University of British Columbia; University of New Brunswick","funders":"","keywords":"Computer science; Human–computer interaction; Virtual reality; Augmented reality","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000165288,0.0001022017,0.00009900404,0.0001453506,0.00004577348,0.00007932106,0.00009562555,0.00003301475,0.00001438907],"category_scores_gemma":[0.00004283491,0.00008638585,0.00002810874,0.00006550945,0.00001058179,0.0001040448,0.000008107125,0.0002317557,0.000002623589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491409,"about_ca_system_score_gemma":0.00003769474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002299787,"about_ca_topic_score_gemma":0.005681007,"domain_scores_codex":[0.9994621,0.000004218993,0.00018342,0.00007728006,0.00007495588,0.000197999],"domain_scores_gemma":[0.9995863,0.00003512231,0.00001091666,0.00009829566,0.00001289667,0.0002564738],"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":[4.341018e-7,2.854055e-7,0.000002393787,0.00004707258,0.0000172437,0.00002691868,0.0004024926,0.9974794,0.0001681255,0.0001696278,0.000133949,0.001552008],"study_design_scores_gemma":[0.00002219814,0.00001020028,0.00004608892,0.0001554532,0.00001512985,0.00005475713,0.00003360472,0.9877508,0.0006685165,0.0003546359,0.01077081,0.0001178539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01492702,0.004956731,0.9789267,0.0002906756,0.0004818196,0.00004884001,0.0000052934,0.00004470311,0.0003181975],"genre_scores_gemma":[0.997389,0.000217708,0.002153317,0.00001636511,0.0001710538,0.000002344716,5.943982e-7,0.00002778708,0.00002187626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9824619,"threshold_uncertainty_score":0.3522713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202223416429775,"score_gpt":0.2114603557225808,"score_spread":0.1994381215582831,"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."}}