{"id":"W3043524377","doi":"10.52842/conf.acadia.2017.414","title":"A Design Gallery System: Prototype and Evaluation","year":2017,"lang":"en","type":"article","venue":"ACADIA quarterly","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Parametric statistics; Human–computer interaction; Parametric design; Work (physics); Multimedia; Software engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007569409,0.00007392219,0.00008817371,0.00005630669,0.000284092,0.0007897551,0.0005856502,0.00004684263,0.000008224765],"category_scores_gemma":[0.0000421071,0.00006660834,0.0000148272,0.0000515614,0.00003286813,0.0009440757,0.00003804903,0.00004960198,0.00009710484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002135708,"about_ca_system_score_gemma":0.00006951659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001882922,"about_ca_topic_score_gemma":0.000004511804,"domain_scores_codex":[0.9991598,0.00009815007,0.0001352557,0.0002271991,0.0002521559,0.0001274868],"domain_scores_gemma":[0.9990405,0.00002592167,0.000127292,0.0006260455,0.000105036,0.00007517596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002589563,0.00008970769,0.002476322,0.0001668937,0.00007866294,0.00002912643,0.006420809,0.00004712517,0.0009095107,0.206702,0.008440812,0.7746131],"study_design_scores_gemma":[0.0005288807,0.0003407059,0.01337462,0.00007062296,0.00002124616,0.00001593971,0.0001112264,0.9810099,0.00009853673,0.002522105,0.001726553,0.0001796556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00581976,0.00008871086,0.9896744,0.0006635775,0.0002463693,0.0007396215,0.000002106785,0.000127226,0.002638158],"genre_scores_gemma":[0.992532,0.000004820937,0.007142097,0.00009664346,0.00005527646,0.00005646993,0.000003412344,0.000005303733,0.0001039371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9867123,"threshold_uncertainty_score":0.7615627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0575638127015725,"score_gpt":0.3307827145628758,"score_spread":0.2732189018613033,"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."}}