{"id":"W4231776579","doi":"10.22215/etd/2015-10602","title":"An Evaluation of Two Dimensional and Three Dimensional User Interfaces for Colour Selection","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Human–computer interaction; User interface; Dependency (UML); Selection (genetic algorithm); Interface (matter); Post-WIMP; Graphical user interface; Realm; User interface design; Data science; User experience design; Natural user interface; Software engineering; Artificial intelligence","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":[0.003016389,0.001077109,0.000509893,0.001170578,0.0003361244,0.001810137,0.0006894516,0.0009113777,0.01305217],"category_scores_gemma":[0.02776775,0.0001963411,0.0007130557,0.0005078083,0.0003931567,0.001300529,0.001023478,0.0003902025,0.001477523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003597073,"about_ca_system_score_gemma":0.0002820677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271187,"about_ca_topic_score_gemma":0.0008657166,"domain_scores_codex":[0.9966503,0.001330825,0.0001889683,0.0001894517,0.00150198,0.0001383759],"domain_scores_gemma":[0.9814447,0.01407599,0.0003538324,0.000876389,0.002866586,0.0003826253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01324165,0.001339441,0.007761327,0.004390334,0.000341537,0.0003361087,0.0023821,0.01071573,0.1792145,0.005017126,0.008864203,0.7663959],"study_design_scores_gemma":[0.002527142,0.03375413,0.2205269,0.002492881,0.002671286,0.004472065,0.005534489,0.3727535,0.2590974,0.008498588,0.08665298,0.001018599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7263388,0.006078863,0.222752,0.0004756126,0.0006185931,0.001638942,0.001321667,0.00628354,0.034492],"genre_scores_gemma":[0.8874143,0.001988747,0.09698205,0.0002814017,0.00009091328,0.0008073454,0.001372269,0.0009893114,0.01007374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01305217,"threshold_uncertainty_score":0.04366386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04111883014234432,"score_gpt":0.3700848668415035,"score_spread":0.3289660366991592,"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."}}