{"id":"W4400581091","doi":"10.1145/3641519.3657452","title":"Generative Escher Meshes","year":2024,"lang":"en","type":"article","venue":"","topic":"Earth Systems and Cosmic Evolution","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Escher; Polygon mesh; Computer science; Generative grammar; Artificial intelligence; Computer graphics (images); Programming language","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":[0.0003313263,0.0007162853,0.0005162669,0.0006555963,0.0005803937,0.001459042,0.0009528502,0.00104961,0.01349027],"category_scores_gemma":[0.001930203,0.0006070174,0.001287236,0.0003286435,0.001173148,0.001108157,0.002104934,0.001080512,0.002670888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006710287,"about_ca_system_score_gemma":0.0003494926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006537,"about_ca_topic_score_gemma":0.00247182,"domain_scores_codex":[0.9996486,0.00006865688,0.00001177013,0.00009662349,0.0001384556,0.0000358588],"domain_scores_gemma":[0.9996276,0.0001835082,0.00002311576,0.0000944106,0.00004114173,0.00003025936],"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":[0.000123765,0.00005406116,0.001378289,0.000256437,0.00006156745,0.0005113683,0.0006461435,0.5711681,0.02947742,0.2522237,0.009457476,0.1346416],"study_design_scores_gemma":[0.00002110446,0.00003520613,0.0001988332,0.00003637173,0.00001269228,0.00026632,0.00007596042,0.9075595,0.007970233,0.06263857,0.02116089,0.00002431075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01461587,0.0001537673,0.9648189,0.0001804139,0.0001127497,0.00007440263,0.0002114504,0.001885513,0.01794706],"genre_scores_gemma":[0.47998,0.0003356434,0.4806782,0.0003573943,0.00009681578,0.0002796785,0.001053085,0.003300179,0.03391908],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01349027,"threshold_uncertainty_score":0.04512942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421371022269521,"score_gpt":0.2102188425184941,"score_spread":0.1960051322957989,"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."}}