{"id":"W2181870477","doi":"10.22215/etd/2013-06206","title":"On the feasibility of using Use Case Maps for the prevention of sequence breaking in video games","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Library and Archives Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sequence (biology); Computer science; Humanities; Computer graphics (images); Cartography; Art; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008307892,0.0000862334,0.0001628513,0.00004124828,0.00006339607,0.00006220941,0.0001668907,0.0001036675,0.00006150921],"category_scores_gemma":[0.001328936,0.00004804759,0.0001227763,0.0001538929,0.0001296558,0.0002208577,0.00001036686,0.00008272787,6.375785e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006987187,"about_ca_system_score_gemma":0.0002213328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01465332,"about_ca_topic_score_gemma":0.05594361,"domain_scores_codex":[0.9990994,0.0001028388,0.0002756008,0.0001485523,0.0002371972,0.000136416],"domain_scores_gemma":[0.9981236,0.00118714,0.0003058284,0.0001854006,0.0001755097,0.00002248758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003968122,0.000604781,0.003389355,0.001003701,0.0001387747,0.00001747231,0.1022732,0.0002717965,0.003718446,0.3577527,0.0009541125,0.5294788],"study_design_scores_gemma":[0.002274056,0.0009413684,0.0287565,0.008388389,0.000767401,0.00003093833,0.7673449,0.004446185,0.01402588,0.1505059,0.02080347,0.001715061],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835631,0.00006247736,0.00005299961,0.00006868735,0.0002463121,0.001297416,0.00002891423,0.000006265279,0.01467382],"genre_scores_gemma":[0.9818916,0.00003558056,0.0001560393,0.00002337354,0.0000278695,0.00004032896,0.0000218086,0.000007234305,0.01779615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6650716,"threshold_uncertainty_score":0.9919082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1580307576140025,"score_gpt":0.4101202690512812,"score_spread":0.2520895114372786,"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."}}