{"id":"W4380761118","doi":"10.52842/conf.caadria.2023.2.401","title":"Annotation on Interactive Design Data in Design Analytics Tools","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Analytics; Annotation; Data science; Visual analytics; Data analysis; Human–computer interaction; Artificial intelligence; Data mining; Visualization","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":[0.002048653,0.0002241565,0.0002324482,0.001335828,0.00007722998,0.0002815102,0.001750822,0.00008397334,0.00002770151],"category_scores_gemma":[0.0005304974,0.0001789326,0.00005114,0.001312965,0.0001419114,0.0004994402,0.0003062035,0.0009601393,0.00004239456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003143432,"about_ca_system_score_gemma":0.000120135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003219211,"about_ca_topic_score_gemma":0.00001413181,"domain_scores_codex":[0.9974774,0.0001818698,0.0005052703,0.0004550653,0.0009878792,0.000392566],"domain_scores_gemma":[0.9978298,0.00125527,0.0001124645,0.0002601275,0.0004793968,0.00006293922],"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":[0.001410756,0.0001587053,0.0007060576,0.0001068766,0.0001568975,0.00002317338,0.001540155,0.5412089,0.0600129,0.05177619,0.005329204,0.3375703],"study_design_scores_gemma":[0.0004284247,0.0002641343,0.005464915,0.0006656813,0.000003047001,0.00001671516,0.0002643347,0.9331156,0.02807319,0.03149553,0.0000416638,0.0001667582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5716627,0.0000307937,0.396709,0.01006269,0.002778287,0.004355743,0.0001286642,0.0006267842,0.01364528],"genre_scores_gemma":[0.9863231,0.00003924426,0.01327636,0.00003424467,0.0001184987,0.00009151748,0.0000221001,0.00002478887,0.00007018778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4146603,"threshold_uncertainty_score":0.7296659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2958261604153081,"score_gpt":0.3757933936378712,"score_spread":0.0799672332225631,"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."}}