{"id":"W3203972802","doi":"10.5194/isprs-annals-viii-4-w2-2021-175-2021","title":"DESIGN AND EVALUATION OF A BIM-GIS INTEGRATED INFORMATION MODEL USING RDF GRAPH DATABASE","year":2021,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; SPARQL; RDF; Database; Building information modeling; Workflow; Graph database; Information retrieval; Graph; Data mining; Semantic Web; Theoretical computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001596728,0.0001375766,0.0001868346,0.0002947387,0.0002186368,0.0001381434,0.0001313603,0.00007162704,0.000002389499],"category_scores_gemma":[0.0003909095,0.0001116292,0.00005070305,0.0009749682,0.0002485889,0.0007534018,0.00007438764,0.0001097486,5.238654e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001797513,"about_ca_system_score_gemma":0.0001522828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02500016,"about_ca_topic_score_gemma":0.001198024,"domain_scores_codex":[0.9984366,0.00009768921,0.0005836979,0.0001042978,0.0006004885,0.0001771713],"domain_scores_gemma":[0.9983167,0.00008891671,0.0002790406,0.0002488464,0.001007986,0.00005851758],"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":[0.000004441778,0.000003100996,0.000006766718,0.00003632756,0.00001083106,1.530246e-8,0.0005484616,0.5989856,0.003252403,0.000007953398,0.00002928933,0.3971148],"study_design_scores_gemma":[0.0001675641,0.00001812899,0.00005844104,0.0001195329,0.00004026041,0.000008752824,0.0004348033,0.9266919,0.07043564,0.001864084,0.00004993134,0.0001109133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2019958,0.00009765459,0.7972236,0.0001229284,0.0001047903,0.0002747233,0.00004019163,0.00003102064,0.0001092656],"genre_scores_gemma":[0.9403626,0.0001609943,0.05931378,0.0001144115,0.000007824149,6.01579e-7,0.00003437451,0.000004802136,6.10934e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7383668,"threshold_uncertainty_score":0.9814925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107949897548145,"score_gpt":0.3256172107556974,"score_spread":0.2148222210008829,"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."}}