{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008682693,0.0008000725,0.0006321685,0.001531709,0.002353486,0.00811756,0.001389037,0.002198062,0.817149],"category_scores_gemma":[0.003033506,0.0003136505,0.0005593315,0.001213665,0.0005247859,0.00386622,0.003827346,0.002455699,0.6877521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145722,"about_ca_system_score_gemma":0.003207364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00299517,"about_ca_topic_score_gemma":0.006272057,"domain_scores_codex":[0.9990734,0.00008807243,0.00003625457,0.0002201669,0.0004021894,0.0001799941],"domain_scores_gemma":[0.9980789,0.0001585024,0.00007817568,0.0002581633,0.0005579193,0.0008683396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001037497,0.0000697407,0.0003330927,0.0001347059,0.000005049615,0.0001522699,0.0001661281,0.0000317081,0.0003642444,0.01940381,0.8468941,0.1323414],"study_design_scores_gemma":[0.000005072755,0.000006629997,0.0001751855,0.00002394102,0.000001207682,0.00003135289,0.00007092251,0.0000173005,0.00005027462,0.0006011415,0.9990145,0.000002384276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008104683,0.000692771,0.0008856883,0.005438835,0.002916412,0.0001105395,0.003023084,0.002253857,0.9838684],"genre_scores_gemma":[0.002399308,0.0002544082,0.0005352771,0.0009013611,0.0002098582,0.00004896058,0.001398719,0.000539144,0.993713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.817149,"threshold_uncertainty_score":0.2608148,"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."}}