{"id":"W4367626055","doi":"10.29173/eureka28787","title":"Featured Research Images","year":2023,"lang":"en","type":"article","venue":"Eureka","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Stars; Degranulation; Art; Art history; Engineering; Biology; Computer science; Computer vision","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":[0.0002602378,0.00005477843,0.00004310741,0.00005480294,0.00005628877,0.00001682491,0.0001144779,0.00006014311,0.00003151802],"category_scores_gemma":[0.00009797877,0.00005250015,0.00003225733,0.0002120701,0.00002797348,6.199749e-7,0.00009686006,0.00009227652,0.0003137421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002937662,"about_ca_system_score_gemma":0.00001532091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003334422,"about_ca_topic_score_gemma":0.000004056601,"domain_scores_codex":[0.9994055,0.00002672836,0.00005250164,0.0001719676,0.0001161006,0.0002271884],"domain_scores_gemma":[0.9996754,0.00001014121,0.000005305573,0.0002192216,0.00004435567,0.00004558858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006112684,0.000004647848,0.0002758291,0.000007066094,0.000007730193,0.000006764174,0.00002744333,0.000134742,0.7317528,0.00002384663,0.2660922,0.00166075],"study_design_scores_gemma":[0.0001344228,0.00005973836,0.01309096,0.000004505222,0.000001736948,0.000004995634,0.00006219337,0.00004482925,0.5603976,0.00005780177,0.4260578,0.00008346827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962913,0.0035273,0.001718231,0.001521562,0.00057033,0.0002280829,0.00002228127,0.0001426222,0.02935657],"genre_scores_gemma":[0.9768534,0.0002379393,0.0002639976,0.00004445577,0.0003735023,0.00001301265,0.00005995644,0.00001813271,0.02213559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1713553,"threshold_uncertainty_score":0.4032625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03081933972759238,"score_gpt":0.4147068257025321,"score_spread":0.3838874859749397,"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."}}