{"id":"W4386927890","doi":"10.1242/bio.060144","title":"First person – Julie Frion","year":2023,"lang":"en","type":"article","venue":"Biology Open","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Selection (genetic algorithm); Pseudogene; Library science; Genetics; Computer science; Gene; Artificial intelligence; Genome","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006156673,0.00152158,0.001093174,0.001677117,0.007197981,0.007538716,0.001499951,0.00366949,0.1449094],"category_scores_gemma":[0.03508466,0.0007249626,0.0005053101,0.0006683921,0.003341114,0.005872625,0.006092158,0.009781049,0.1051565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006050406,"about_ca_system_score_gemma":0.007289309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005696106,"about_ca_topic_score_gemma":0.00867946,"domain_scores_codex":[0.9913817,0.00265715,0.0002886118,0.001643328,0.003124222,0.0009049196],"domain_scores_gemma":[0.9693162,0.004728554,0.001378152,0.001296851,0.01170614,0.01157407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002753606,0.00002557217,0.0001326847,0.00005666815,0.000003314615,0.0002351679,0.002390246,0.00002489005,0.0004392098,0.002582242,0.983216,0.01086651],"study_design_scores_gemma":[0.000003578015,0.000008401343,0.00009555074,0.00007072897,7.248985e-7,0.0002635374,0.002727794,0.00002703641,0.00008096659,0.0006019606,0.9961057,0.00001389001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.006176495,0.01533246,0.009627489,0.6503616,0.1320788,0.0004605853,0.001888019,0.002404246,0.1816703],"genre_scores_gemma":[0.04283531,0.0036721,0.004860967,0.1968578,0.008570271,0.0005909475,0.0004122836,0.002298481,0.7399018],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1449094,"threshold_uncertainty_score":0.4847701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262947666428417,"score_gpt":0.3050663992899207,"score_spread":0.2524369226256366,"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."}}