{"id":"W4244687702","doi":"10.1111/febs.15633","title":"The FEBS Journal: hidden gems","year":2020,"lang":"en","type":"article","venue":"FEBS Journal","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Value (mathematics); Data science; Computer science; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003933862,0.0001398914,0.0001207222,0.00001898282,0.0006622219,0.000317021,0.0004864831,0.0001120165,0.0000633891],"category_scores_gemma":[0.000191719,0.000093336,0.0001987445,0.00006700993,0.00005965568,0.000007128877,0.0001179954,0.0005899919,0.00005744973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001812327,"about_ca_system_score_gemma":0.0001406932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001444036,"about_ca_topic_score_gemma":0.000007541561,"domain_scores_codex":[0.9989234,0.0001186841,0.0002967049,0.0001525845,0.000185121,0.0003235326],"domain_scores_gemma":[0.999195,0.00001611941,0.0001904701,0.0001778816,0.0001401932,0.0002803174],"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":[0.0001989093,0.00004020601,0.001830318,0.000008248444,0.0002642379,0.00008828498,0.0003152737,0.00006076723,0.5960084,0.0001172696,0.3661776,0.0348905],"study_design_scores_gemma":[0.0006540889,0.0003540797,0.0007213617,0.00001356303,0.0000348298,0.001924405,0.0003235077,0.0001153949,0.02373491,0.0003042739,0.9716269,0.0001926751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607118,0.01108399,0.008144462,0.01509897,0.001560252,0.0001579892,0.00001238198,0.000017542,0.003212608],"genre_scores_gemma":[0.9750333,0.0105462,0.001047621,0.004519148,0.006349584,0.000003433361,0.00001502362,0.00005541682,0.002430294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6054494,"threshold_uncertainty_score":0.5093343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205876523234673,"score_gpt":0.2386508135689307,"score_spread":0.226592048336584,"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."}}