{"id":"W4402727266","doi":"10.1109/cvpr52733.2024.00452","title":"Functional Diffusion","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Diffusion; Physics; Thermodynamics","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":[0.00001103337,0.00003540291,0.00003303701,0.00003751806,0.000008107205,0.00001182685,0.00001923068,0.00001465783,0.0008892496],"category_scores_gemma":[0.000001833374,0.00002656329,0.0000286023,0.0001345411,0.000005144178,0.00005695851,0.000007807781,0.00004593734,0.000300831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001858626,"about_ca_system_score_gemma":9.327428e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000111643,"about_ca_topic_score_gemma":6.508844e-7,"domain_scores_codex":[0.9998034,0.000001083319,0.00004379603,0.00005317232,0.00004907418,0.00004949833],"domain_scores_gemma":[0.999921,0.00001341814,7.504807e-7,0.00004428913,0.000003617726,0.00001697607],"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":[0.000002305857,0.00002103926,0.0001598108,0.0001003218,0.00009519321,0.00002473106,0.00003542943,0.01609842,0.2095239,0.05502291,0.230246,0.48867],"study_design_scores_gemma":[0.00002379642,0.00001002779,0.0006800699,0.00001671508,0.00001189149,0.000005387506,0.00000693946,0.5831776,0.03069292,0.01557679,0.3696472,0.0001506408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004502743,0.0003776311,0.9559655,0.00008312118,0.0001091209,0.0000145746,4.424264e-7,0.00296876,0.03597813],"genre_scores_gemma":[0.9894642,0.0000566717,0.007081534,0.0000351527,0.00006579336,0.000007019641,0.000003916155,0.00001136288,0.003274402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9849614,"threshold_uncertainty_score":0.973666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006889901530733224,"score_gpt":0.2182234607480445,"score_spread":0.2113335592173113,"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."}}