{"id":"W2948461888","doi":"10.2196/14620","title":"Diagnostic Markers of User Experience, Play, and Learning for Digital Serious Games: A Conceptual Framework Study","year":2019,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Educational Games and Gamification","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entertainment; Serious game; Identification (biology); Game mechanics; Game design; Computer science; Psychology; Multimedia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001640961,0.0002299908,0.0003538382,0.0001049068,0.00008081012,0.00009286068,0.000216499,0.00015897,0.0004724133],"category_scores_gemma":[0.0005508502,0.0002196585,0.00007507024,0.0001924804,0.0002202514,0.0002015464,0.00006028843,0.0002537387,0.00008359593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003002903,"about_ca_system_score_gemma":0.00004813121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004740653,"about_ca_topic_score_gemma":0.000008149101,"domain_scores_codex":[0.9984164,0.0001011159,0.0003983944,0.0005294916,0.0002108855,0.0003437331],"domain_scores_gemma":[0.997173,0.001956474,0.0002504069,0.000399499,0.0001147737,0.0001058939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006246479,0.00111007,0.7450634,0.00008521569,0.0002577096,0.000007435146,0.2045316,0.00007767773,0.0002259218,0.004570241,0.002555781,0.04089032],"study_design_scores_gemma":[0.001119416,0.001943117,0.7722392,0.00008270161,0.0000288152,0.00001352718,0.1651913,0.00002634037,0.00001457485,0.0002061838,0.05884325,0.0002915197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947351,0.0005203041,0.0001707738,0.0001617307,0.0008714864,0.002133818,0.00002790699,0.00006809206,0.001310815],"genre_scores_gemma":[0.990718,0.00002470687,0.0002867673,0.0001204818,0.0001426576,0.001132791,0.00003630716,0.00004530197,0.00749295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05628747,"threshold_uncertainty_score":0.8957412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437281110393797,"score_gpt":0.3238523581882735,"score_spread":0.3094795470843356,"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."}}