{"id":"W4401943703","doi":"10.1109/cog60054.2024.10645615","title":"PrepPipe: Prototyping Compiler for Attainable Visual Novel Development","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Compiler; Rapid prototyping; Software prototyping; Programming language; Software engineering; Computer architecture; Embedded system; Software development; Software; Engineering","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":[0.002164206,0.001264998,0.0005846825,0.0011254,0.0006212457,0.002510742,0.001942296,0.001014651,0.01888187],"category_scores_gemma":[0.01116683,0.001500084,0.001272784,0.0005847691,0.0008917749,0.003064559,0.002813575,0.001981444,0.009678051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006695256,"about_ca_system_score_gemma":0.0017471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007507131,"about_ca_topic_score_gemma":0.001050402,"domain_scores_codex":[0.9984298,0.0003637196,0.0001976289,0.0002940908,0.0005540405,0.0001607061],"domain_scores_gemma":[0.9956759,0.002541874,0.0002369878,0.0005761976,0.0007651702,0.000203786],"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":[0.00141917,0.0006190091,0.006403305,0.002607762,0.0001329674,0.002884602,0.004749071,0.02562645,0.07221696,0.1256305,0.2201255,0.5375848],"study_design_scores_gemma":[0.0004516136,0.0003889112,0.002125435,0.0005618273,0.00009986941,0.002246752,0.0007440199,0.2223654,0.112807,0.04322507,0.6147551,0.0002289055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.008830747,0.0001934531,0.8673678,0.000179992,0.0001626215,0.000548856,0.001511459,0.1116667,0.009538429],"genre_scores_gemma":[0.05130491,0.0002502006,0.8996019,0.0001962458,0.00004265797,0.0008870343,0.004103191,0.03526084,0.008353006],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01888187,"threshold_uncertainty_score":0.0631662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04651093372629528,"score_gpt":0.3719874204342012,"score_spread":0.3254764867079059,"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."}}