{"id":"W4402943948","doi":"10.1007/978-3-031-72667-5_1","title":"ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Scalability; Asynchronous communication; Distillation; Artificial intelligence; Database; Computer network; Chemistry; Chromatography","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006093259,0.000720054,0.0006582499,0.001960695,0.0003162204,0.001575707,0.002910692,0.0003102532,0.00002714673],"category_scores_gemma":[0.00005266692,0.0005995749,0.0001425788,0.002006408,0.0005442996,0.0005905505,0.001677068,0.0006441697,0.0001018768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003680909,"about_ca_system_score_gemma":0.0005172449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004317552,"about_ca_topic_score_gemma":0.0001249432,"domain_scores_codex":[0.9951865,0.00002963096,0.000598701,0.002218746,0.001250971,0.0007154294],"domain_scores_gemma":[0.9969622,0.0004295803,0.0002350643,0.001671306,0.0003979338,0.0003039449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000082236,0.00004063305,0.000186891,0.0001197606,0.00002792149,0.0001063458,0.0004782423,0.009285087,0.00003054929,0.2849083,0.00006642393,0.7047417],"study_design_scores_gemma":[0.0001066109,0.0004238558,0.0002630101,0.002138373,0.00002755457,0.0001189874,1.129615e-7,0.8253135,0.001852208,0.1650448,0.003583234,0.001127769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009070027,0.0003666363,0.9920996,0.0007768372,0.0008790087,0.000676097,0.00001205392,0.0007750084,0.004324044],"genre_scores_gemma":[0.399072,0.0001042419,0.5979758,0.001379147,0.0006470943,0.00007624998,0.00001078383,0.000132023,0.0006026805],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8160284,"threshold_uncertainty_score":0.9996456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261514224340131,"score_gpt":0.2504131863334977,"score_spread":0.2377980440900964,"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."}}