{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01318247,0.001349216,0.0009205144,0.00135567,0.001181928,0.003010024,0.004213899,0.002431011,0.01984727],"category_scores_gemma":[0.03025001,0.0008349685,0.0008035049,0.0007040576,0.001140118,0.003564636,0.003105291,0.001359939,0.006297402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000965422,"about_ca_system_score_gemma":0.001592742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591976,"about_ca_topic_score_gemma":0.001718124,"domain_scores_codex":[0.9925,0.003737757,0.0004850068,0.0006682461,0.002341276,0.0002678079],"domain_scores_gemma":[0.9785553,0.01158649,0.0004694727,0.004708764,0.003562581,0.001117412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004295638,0.01191138,0.005066178,0.005381277,0.0003096841,0.0009495629,0.01507701,0.01046048,0.06748334,0.005867433,0.04736689,0.8258311],"study_design_scores_gemma":[0.01117364,0.03208759,0.03854836,0.002536014,0.001094575,0.003536183,0.0113921,0.1705423,0.1449133,0.01245061,0.5707037,0.001021653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4700379,0.001379123,0.4117795,0.001443561,0.0004880659,0.02063893,0.002415431,0.04093724,0.05088031],"genre_scores_gemma":[0.3521204,0.0006555595,0.6059245,0.000687574,0.00007016496,0.007421555,0.003627299,0.003968489,0.02552439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01984727,"threshold_uncertainty_score":0.06971645,"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."}}