{"id":"W2235728049","doi":"","title":"Pictorial Database For Building Diagnosis","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Joint CIB W78, W102, ICCCBE, ICCC, and DMUCE International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada, 14-16 June","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Visual inspection; Process (computing); Operability; Task (project management); Computer science; Plan (archaeology); Risk analysis (engineering); Government (linguistics); Component (thermodynamics); Database; Construction engineering; Engineering; Artificial intelligence; Systems engineering; Software engineering; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007873163,0.001522827,0.00122271,0.004124668,0.0007178232,0.003906627,0.003714456,0.001869573,0.1471458],"category_scores_gemma":[0.00436289,0.0007205454,0.001121373,0.003724353,0.0003889687,0.003272091,0.002233938,0.001328762,0.08676188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286951,"about_ca_system_score_gemma":0.001450616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007930375,"about_ca_topic_score_gemma":0.00692887,"domain_scores_codex":[0.9991148,0.0001289783,0.0001546993,0.0001730469,0.0003513005,0.0000770714],"domain_scores_gemma":[0.9980044,0.000577334,0.0001618066,0.0005999237,0.0005491819,0.0001073448],"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":[0.0005073657,0.0001590044,0.001155493,0.001919628,0.00004783995,0.0008374569,0.0002426519,0.007072391,0.004851481,0.01993606,0.7599619,0.2033087],"study_design_scores_gemma":[0.0001175597,0.00006368823,0.001460543,0.0004163187,0.00003997666,0.0009967219,0.0002010737,0.03234538,0.007190881,0.01703304,0.9400456,0.00008928259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.003118233,0.001969812,0.3603184,0.001076179,0.0005055535,0.001418101,0.4042647,0.1514387,0.07589033],"genre_scores_gemma":[0.04952487,0.00274011,0.3713894,0.00112886,0.0001941821,0.003135014,0.5274898,0.007969994,0.03642778],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1471458,"threshold_uncertainty_score":0.4922519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648474495040467,"score_gpt":0.2646509622563829,"score_spread":0.2481662173059782,"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."}}