{"id":"W4312888704","doi":"10.1609/aiide.v6i1.12383","title":"Preface","year":2010,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Library science; Engineering; Engineering management; Management; Engineering ethics; Computer science; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002065481,0.0002233613,0.000205873,0.00008240181,0.0001206582,0.0007043533,0.001274053,0.00006920585,0.00006525604],"category_scores_gemma":[0.000307558,0.0001560526,0.0001149502,0.0001896839,0.0002816451,0.001409127,0.0005258392,0.0004334501,0.00006587195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003239449,"about_ca_system_score_gemma":0.00003513104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001332669,"about_ca_topic_score_gemma":0.000006406452,"domain_scores_codex":[0.9984895,0.000009102751,0.0004048069,0.0004836351,0.0003440926,0.0002688587],"domain_scores_gemma":[0.998901,0.0001119976,0.0002312572,0.0002812516,0.0003701158,0.0001043681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001506397,0.000542366,0.0009557242,0.00002882745,0.00004257486,5.273158e-7,0.003458636,0.000004921515,0.09466811,0.7561045,0.0001577929,0.1438854],"study_design_scores_gemma":[0.00004601782,0.0005569257,0.0005544958,0.0001624549,0.000008172268,0.00001254224,0.001299313,0.01474273,0.8764543,0.104731,0.001166348,0.0002656861],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528222,0.000005777687,0.01490688,0.004208711,0.0007264019,0.000468731,0.00001223525,0.00006656015,0.0267825],"genre_scores_gemma":[0.9987736,0.000007843789,0.0004766594,0.0002370757,0.00003112587,0.00002570381,4.521823e-7,0.000008052075,0.0004394756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7817862,"threshold_uncertainty_score":0.6792095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04257532900237254,"score_gpt":0.2771465508196666,"score_spread":0.2345712218172941,"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."}}