{"id":"W4415465055","doi":"10.1242/bio.062299","title":"First person – Nikita Jhaveri","year":2025,"lang":"en","type":"article","venue":"Biology Open","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"First person; Adaptation (eye); Selection (genetic algorithm); Caenorhabditis elegans; Variation (astronomy); Genetic variants","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":[0.0001733748,0.0001497667,0.0001735925,0.00003782546,0.0001644026,0.0000493998,0.0007515074,0.0002353055,0.0001084713],"category_scores_gemma":[0.00005992572,0.0001422402,0.00006171444,0.00006326323,0.0001333277,0.000002801039,0.0005049534,0.00007743218,0.00006225525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001249186,"about_ca_system_score_gemma":0.0001078097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002499213,"about_ca_topic_score_gemma":0.0003804874,"domain_scores_codex":[0.999087,0.00005750142,0.0001354786,0.0004325871,0.00003124651,0.0002562267],"domain_scores_gemma":[0.9993653,0.00001040562,0.00004575896,0.0004775279,0.00004944277,0.00005151127],"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":[0.0003027535,0.0003443566,0.1568007,0.00008838632,0.0005305241,0.00000884346,0.0006730504,0.0001542797,0.628134,0.01201383,0.1924722,0.008477116],"study_design_scores_gemma":[0.0009979382,0.0003492947,0.02592873,0.00001743081,0.00003941268,0.000008287034,0.0001860271,0.0000901682,0.06601972,0.0008526047,0.9051592,0.0003511216],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9144391,0.002348596,0.009973802,0.00406056,0.001306545,0.000838384,0.00005809428,0.00003781597,0.06693715],"genre_scores_gemma":[0.9817258,0.0002017796,0.001842524,0.001910237,0.0001440601,0.00003563798,0.0001435022,0.00001444742,0.01398199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7126871,"threshold_uncertainty_score":0.5800388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976782618543626,"score_gpt":0.2862359952249174,"score_spread":0.2664681690394811,"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."}}