{"id":"W1524905720","doi":"10.1016/s1571-0831(04)80045-5","title":"17 A descriptive framework for designing interaction for visual abstractions","year":2005,"lang":"en","type":"book-chapter","venue":"Studies in multidisciplinarity","topic":"Design Education and Practice","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Cognition; Human–computer interaction; Cognitive science; Visual reasoning; Descriptive research; Artificial intelligence; Psychology; Mathematics; Neuroscience","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004915723,0.0004215002,0.0005124143,0.0002505966,0.0003460215,0.00005115015,0.0001376543,0.00041926,0.00008493193],"category_scores_gemma":[0.0005428595,0.000469086,0.0002091339,0.00004684544,0.0001122342,0.0003431751,0.00006266018,0.0008797899,0.0000427506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008898561,"about_ca_system_score_gemma":0.00006150382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004840614,"about_ca_topic_score_gemma":0.0002281193,"domain_scores_codex":[0.9985441,0.00001953148,0.0005372975,0.0004154251,0.0001395464,0.0003441293],"domain_scores_gemma":[0.9966047,0.002622471,0.0002086951,0.0002226288,0.000273948,0.0000676017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003228143,0.001469781,0.0001796139,0.006605088,0.007307569,0.00003556703,0.1291604,0.06731507,0.0008125793,0.3179484,0.1936235,0.2723143],"study_design_scores_gemma":[0.001912853,0.0005431165,0.0003173437,0.002601433,0.0008146112,0.00002707234,0.03139094,0.02986309,0.0005600379,0.280417,0.6491446,0.002407908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005271568,0.007104205,0.7580971,0.001340062,0.0166666,0.005962289,0.0004062125,0.0008406149,0.2090558],"genre_scores_gemma":[0.1283739,0.007480801,0.5992779,0.0001945997,0.007555397,0.005412911,0.0003876825,0.0007105864,0.2506062],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4555211,"threshold_uncertainty_score":0.9997761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1644226764826903,"score_gpt":0.4318569080213792,"score_spread":0.2674342315386889,"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."}}