{"id":"W4247537826","doi":"10.32920/ryerson.14653305","title":"Role initiative: a digital tool for a physical game","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sandbox (software development); Variety (cybernetics); Core (optical fiber); Computer science; Limit (mathematics); Human–computer interaction; Multimedia; Feature (linguistics); Artificial intelligence; Telecommunications; Software engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008952219,0.0009637663,0.0002625786,0.001053738,0.0006213898,0.002334695,0.001494056,0.0008443611,0.02176345],"category_scores_gemma":[0.003066195,0.0002645699,0.000550198,0.0003471283,0.001092744,0.003637951,0.003534079,0.001022811,0.00580751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002682556,"about_ca_system_score_gemma":0.0006035658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004664815,"about_ca_topic_score_gemma":0.0009262052,"domain_scores_codex":[0.9995347,0.0001601461,0.00002271314,0.00007122827,0.0001338176,0.00007738823],"domain_scores_gemma":[0.9989896,0.0004452521,0.0000548624,0.0001409726,0.00007133276,0.000297852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009011892,0.001165783,0.003462032,0.00100543,0.00005276924,0.001377778,0.01557146,0.0008574644,0.04586943,0.3264939,0.07119043,0.5320525],"study_design_scores_gemma":[0.0002541453,0.0009077232,0.002733845,0.0003630214,0.00009623445,0.001980733,0.002190933,0.008293488,0.01215816,0.02513709,0.945744,0.0001405142],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05923674,0.001121203,0.6168998,0.002811243,0.0009333114,0.0008292578,0.0005565223,0.02827448,0.2893374],"genre_scores_gemma":[0.4056736,0.0008942927,0.4660386,0.001259039,0.0002459506,0.001453432,0.0007630453,0.002746721,0.1209254],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02176345,"threshold_uncertainty_score":0.072806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121937870126459,"score_gpt":0.3304277278911736,"score_spread":0.299208349189909,"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."}}