{"id":"W6926068341","doi":"10.2312/hpg.20231132","title":"Voxel-based Representations for Improved Filtered Appearance","year":2023,"lang":"en","type":"article","venue":"Eurographics","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"ENCODE; Rendering (computer graphics); Volume rendering; Image-based modeling and rendering; Human visual system model; Image quality; Simple (philosophy); Active appearance model","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":[0.0001872928,0.0000982686,0.0001493547,0.0001798438,0.0001081885,0.00002314345,0.00007869196,0.00005772227,0.00002075184],"category_scores_gemma":[0.0003973385,0.00008000065,0.0001677563,0.000921161,0.00007318432,0.0000324094,0.0000171827,0.0001152652,0.00002986809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005208387,"about_ca_system_score_gemma":0.00003476844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009430369,"about_ca_topic_score_gemma":0.000006698571,"domain_scores_codex":[0.9992251,0.00001955456,0.0001632429,0.0002811469,0.00008367712,0.0002272298],"domain_scores_gemma":[0.9993407,0.00008041868,0.00004923082,0.0003180079,0.0001394403,0.00007220315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005147486,0.0001897849,0.0022637,0.0003487031,0.0001233103,0.00002254132,0.00009633886,0.00001344022,0.8758085,0.0006006085,0.09751716,0.02250114],"study_design_scores_gemma":[0.004528853,0.0008257106,0.05422097,0.0002706764,0.0003207932,0.00002453881,0.00008937214,0.009468574,0.259449,0.000833757,0.6694233,0.0005444288],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8869566,0.0008504379,0.001601658,0.1021992,0.001550925,0.003849837,0.0003761748,0.001617371,0.0009978686],"genre_scores_gemma":[0.9924498,0.00008745792,0.003107268,0.0015677,0.0003040263,0.00001190958,0.000186651,0.00003210572,0.002253111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6163595,"threshold_uncertainty_score":0.3262331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03765927482919381,"score_gpt":0.3106675746864176,"score_spread":0.2730082998572238,"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."}}