{"id":"W4389315177","doi":"10.1109/cog57401.2023.10333156","title":"Procedural generation of rollercoasters","year":2023,"lang":"en","type":"article","venue":"","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008899888,0.0007449005,0.0005762088,0.0005611919,0.0005109495,0.001284635,0.001556271,0.0009783113,0.009073682],"category_scores_gemma":[0.005193776,0.000432919,0.0006309866,0.000268874,0.001072593,0.001336528,0.002596066,0.0009596139,0.001048752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005581862,"about_ca_system_score_gemma":0.0005987082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001342902,"about_ca_topic_score_gemma":0.002276049,"domain_scores_codex":[0.9994453,0.0001151971,0.00002682188,0.0001169118,0.0002083457,0.00008740007],"domain_scores_gemma":[0.9984012,0.0007377709,0.0001277054,0.0003691462,0.0002059438,0.0001583059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005069891,0.0003268555,0.004658523,0.0002439968,0.0000971414,0.0008965509,0.000762038,0.6925562,0.03211537,0.130283,0.0080088,0.1295446],"study_design_scores_gemma":[0.00003572106,0.0001011079,0.0003943459,0.0000365349,0.0000134389,0.0001173868,0.0001352438,0.9627906,0.008220718,0.02151881,0.006609937,0.00002610648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09104931,0.00009944038,0.8892333,0.000257356,0.0001357399,0.000299515,0.0001935695,0.001938151,0.01679358],"genre_scores_gemma":[0.7695597,0.0001069894,0.2183411,0.0001138153,0.00001821706,0.0002715258,0.0004639295,0.0007136719,0.01041099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009073682,"threshold_uncertainty_score":0.03035444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05294949916619102,"score_gpt":0.2704849124526156,"score_spread":0.2175354132864246,"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."}}