{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02150889,0.002508887,0.001567313,0.007832902,0.00284385,0.008720584,0.003883735,0.002731911,0.01175123],"category_scores_gemma":[0.07898921,0.001438233,0.001873914,0.006618173,0.003955556,0.01174158,0.01009368,0.003101558,0.003150543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137468,"about_ca_system_score_gemma":0.003057686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002363037,"about_ca_topic_score_gemma":0.00474413,"domain_scores_codex":[0.971162,0.01940449,0.001710479,0.002383598,0.004820519,0.0005189201],"domain_scores_gemma":[0.8688824,0.1014704,0.003151905,0.02012085,0.005469786,0.0009046305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001372814,0.0009134226,0.009151826,0.005636255,0.0003120076,0.002365246,0.1915785,0.03552749,0.04182471,0.1615361,0.03992105,0.5098605],"study_design_scores_gemma":[0.0002958167,0.0004051823,0.004414395,0.003558252,0.0002254014,0.000969756,0.01989763,0.08975283,0.03536803,0.3512072,0.4934103,0.0004952495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02928133,0.0005387358,0.9244097,0.001804254,0.0002033072,0.000769038,0.003419031,0.01218204,0.02739253],"genre_scores_gemma":[0.2226119,0.0004853212,0.7588101,0.000507217,0.00008178825,0.001960316,0.005360037,0.003061402,0.007121949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02150889,"threshold_uncertainty_score":0.1137512,"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."}}