{"id":"W3089008087","doi":"10.1111/febs.15805","title":"The FEBS Journal: hidden gems","year":2021,"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":"Value (mathematics); Quarter (Canadian coin); 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":[0.0005370419,0.0001334521,0.0001191448,0.00002482507,0.0007939555,0.0004065715,0.0003480663,0.0001267609,0.0001009621],"category_scores_gemma":[0.000204057,0.00009268121,0.0002221482,0.00007431371,0.00005708405,0.000006769326,0.0001301683,0.0005539182,0.00003642942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002829804,"about_ca_system_score_gemma":0.0002990493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001583814,"about_ca_topic_score_gemma":0.00003525233,"domain_scores_codex":[0.9988356,0.0001690253,0.0002974735,0.0001584633,0.0001916467,0.0003477448],"domain_scores_gemma":[0.9990504,0.00002183749,0.0001706904,0.0002881398,0.0002960278,0.0001728587],"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":[0.00007130834,0.00007549126,0.00186866,0.000006030567,0.000293284,0.0002672921,0.0001112504,0.00003296544,0.7579006,0.0001925096,0.1986817,0.0404989],"study_design_scores_gemma":[0.000581817,0.0001241267,0.00132762,0.0000235965,0.00003716768,0.009867335,0.0003762751,0.00002586652,0.07771153,0.0008226503,0.9089198,0.0001822611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649681,0.02058095,0.003979872,0.003480438,0.0024274,0.00007520046,0.000009247664,0.000008916785,0.00446985],"genre_scores_gemma":[0.9177366,0.03911987,0.002711063,0.002523889,0.007496415,0.000006265455,0.00004932039,0.00008914956,0.03026745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7102381,"threshold_uncertainty_score":0.6106544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008439151839777174,"score_gpt":0.2431757751845173,"score_spread":0.2347366233447401,"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."}}