{"id":"W4398226216","doi":"10.1109/tg.2024.3404001","title":"Procedural Generation of Rollercoasters","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Games","topic":"Structural Analysis of Composite Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002552251,0.00008780746,0.0001157893,0.000139379,0.00001989212,0.0000431104,0.00005205059,0.00003310952,0.0002018402],"category_scores_gemma":[4.342543e-7,0.00007478627,0.00008153162,0.0001430631,0.00001511796,0.0001128728,1.773216e-7,0.00005385117,0.00003541454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002364236,"about_ca_system_score_gemma":0.000006351725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006123738,"about_ca_topic_score_gemma":0.000009140628,"domain_scores_codex":[0.9995677,0.000008821133,0.0001590408,0.00009019823,0.00009567676,0.00007856448],"domain_scores_gemma":[0.99985,0.00001729901,0.00000779015,0.00008763155,0.00001537913,0.00002185682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005372607,0.000004497594,5.777201e-7,0.0000907655,0.00008876917,0.000001171844,0.0001566943,0.3018147,0.6802828,0.00002047831,0.0004498998,0.01708426],"study_design_scores_gemma":[0.00005768332,0.00002239947,0.00003054561,0.00003052868,0.00005047003,0.000005999091,0.00001496736,0.1502478,0.8490741,0.00003724162,0.0003457878,0.00008256374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8653966,0.0002046925,0.1323577,0.0001104652,0.001213154,0.00007710778,0.00001937106,0.0002976967,0.0003233089],"genre_scores_gemma":[0.9991912,0.00003111347,0.0004585644,0.00001496491,0.00006949701,0.00001356177,0.000002342529,0.00001628283,0.0002024732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1687913,"threshold_uncertainty_score":0.3049695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629419218413074,"score_gpt":0.2277096857107908,"score_spread":0.21141549352666,"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."}}