{"id":"W2144116831","doi":"","title":"Improving the Design of Web-based Games and Simulations through Usability Research","year":2005,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Seneca Polytechnic; York University","funders":"","keywords":"Usability; Computer science; Software; Data collection; World Wide Web; Variety (cybernetics); Human–computer interaction; Web application; Data science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009512724,0.00004507467,0.00005782643,0.00003473639,0.0001036675,0.00001640539,0.0001022099,0.00004277975,0.001324065],"category_scores_gemma":[0.0002131459,0.00002986909,0.00001783079,0.0001731678,0.0002279962,0.00006161444,0.00001467497,0.0001031767,0.00003278484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002361582,"about_ca_system_score_gemma":0.00008342864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002298692,"about_ca_topic_score_gemma":0.0000418789,"domain_scores_codex":[0.9991055,0.0003016219,0.000167432,0.0001676845,0.0001314552,0.0001263047],"domain_scores_gemma":[0.9977127,0.001729161,0.00004349252,0.0003235078,0.0001706203,0.0000204666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002757698,0.002425926,0.1071723,0.00009763156,0.0001143839,3.17321e-7,0.03756197,0.02184152,0.03733803,0.4900138,0.03548185,0.2676765],"study_design_scores_gemma":[0.001891491,0.0003899061,0.6507089,0.0000251025,0.00004870506,0.000003641663,0.01415583,0.2361881,0.007492645,0.0180137,0.07073607,0.0003459867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9018233,0.0005623364,0.05844286,0.0232161,0.000140307,0.0008750656,0.00001458744,0.00004445337,0.01488102],"genre_scores_gemma":[0.9889705,0.00000398991,0.008866487,0.0002220713,0.00007713174,0.00003388757,0.00000385781,0.000005104516,0.001817002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5435365,"threshold_uncertainty_score":0.9995888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543358142079388,"score_gpt":0.4376969264122939,"score_spread":0.2833611122043551,"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."}}