{"id":"W3096291005","doi":"10.5206/elip.v3i1.8637","title":"Roll for Initiative","year":2020,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Variety (cybernetics); Game mechanics; Computer science; Multimedia; Role playing; Human–computer interaction; Sociology; Artificial intelligence; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00007895293,0.00007252955,0.0000906794,0.0000594744,0.0001436909,0.000219777,0.0001461039,0.00003608052,0.0004520944],"category_scores_gemma":[0.0003929849,0.00007183479,0.00007683512,0.0002723396,0.00009407267,0.008642734,0.00003293152,0.00006044969,0.00009518342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001931446,"about_ca_system_score_gemma":0.0001659863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005092785,"about_ca_topic_score_gemma":0.000001260173,"domain_scores_codex":[0.9993737,0.00002022439,0.0001593545,0.00008501472,0.0001815269,0.0001802235],"domain_scores_gemma":[0.9995862,0.00007356339,0.00008497904,0.00004722136,0.00006518525,0.0001428679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007645722,0.00001325441,0.0002147085,0.00001675524,0.00002176693,2.519266e-7,0.636101,0.00002995041,0.000002334266,0.3073931,0.03216469,0.02396574],"study_design_scores_gemma":[0.0001996132,0.00004319949,0.0003554063,0.000006040591,0.000003386626,6.012863e-8,0.1922533,0.0001669841,0.0000688441,0.001051536,0.8057672,0.00008445096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003797107,0.0001506182,0.0014216,0.03675683,0.0001831263,0.0003534712,0.00005410358,0.0003209116,0.9569622],"genre_scores_gemma":[0.9817564,0.0002192765,0.002764867,0.009087785,0.0009490383,0.00006271712,0.0001022473,0.0000155917,0.005042057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9779593,"threshold_uncertainty_score":0.6265774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02700774362187243,"score_gpt":0.2784819519921948,"score_spread":0.2514742083703224,"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."}}