{"id":"W4225279466","doi":"10.29173/eureka28777","title":"Featured Research Images","year":2022,"lang":"en","type":"article","venue":"Eureka","topic":"Amino Acid Enzymes and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Computer graphics (images)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004074748,0.00006367454,0.00006211388,0.00003875309,0.0002564586,0.00001427263,0.0002208945,0.00003553595,0.0004167557],"category_scores_gemma":[0.00005245565,0.00006184077,0.0000494636,0.0001276525,0.00004804371,0.000001067748,0.0003689774,0.0002188519,0.0000404212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008384092,"about_ca_system_score_gemma":0.0000454269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001149793,"about_ca_topic_score_gemma":0.000002421425,"domain_scores_codex":[0.9990993,0.0001484141,0.00006667461,0.0002262297,0.0002220029,0.000237452],"domain_scores_gemma":[0.99959,0.00000641249,0.00001713049,0.0002877739,0.00004744837,0.00005127403],"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":[0.00003084463,0.00003119604,0.0001995589,0.000002423219,0.00001117126,0.0000082844,0.00004524794,0.00002436489,0.5336736,0.0003686406,0.4632968,0.002307855],"study_design_scores_gemma":[0.0001860777,0.0001013236,0.002816479,4.86075e-7,0.000002679618,0.0000170893,0.0001484475,0.000002412652,0.1178076,0.00006775503,0.878777,0.00007260865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8783155,0.02412136,0.0002527367,0.002261885,0.001132716,0.0003665799,0.0001095762,0.00004461918,0.09339502],"genre_scores_gemma":[0.9408571,0.0001413022,0.0003109803,0.0004358568,0.0004539071,0.00005120305,0.00009047035,0.00001886728,0.05764036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.415866,"threshold_uncertainty_score":0.4563183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767692906305255,"score_gpt":0.3263369050736372,"score_spread":0.2986599760105846,"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."}}