{"id":"W1518692175","doi":"10.1126/science.287.5454.810","title":"A Life in Science","year":2000,"lang":"en","type":"article","venue":"Science","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Data science; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001271048,0.00006507871,0.0000618687,0.000147621,0.0001646194,0.00008170111,0.0008276567,0.00004102657,0.0001380788],"category_scores_gemma":[0.001040939,0.00005321141,0.00001940964,0.0009474666,0.002808699,0.00001298719,0.0001753123,0.00007200136,0.0001508393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002296608,"about_ca_system_score_gemma":0.001362086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001999659,"about_ca_topic_score_gemma":0.00002088184,"domain_scores_codex":[0.9983864,0.000009318464,0.0001579973,0.0003035424,0.0006398077,0.0005028732],"domain_scores_gemma":[0.9991657,0.000004808507,0.00001732147,0.0003109336,0.00009697473,0.0004043228],"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":[0.00002936474,0.00007621117,0.005505607,0.00001237227,0.000001364459,0.000002714683,0.0002405805,0.00004392895,0.8595495,0.00008400912,0.0008319926,0.1336224],"study_design_scores_gemma":[0.001229492,0.0008543516,0.1631132,0.00004679586,0.00000298403,0.00002606649,0.0005579019,0.006672238,0.6040583,0.0006771659,0.2221424,0.0006191812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793459,0.0001308894,0.00006042412,0.0004020498,0.00009132727,0.00008971556,0.000002129567,0.000005231926,0.01987237],"genre_scores_gemma":[0.9969692,0.000241773,0.0009324071,0.0007140756,0.00006209134,0.000004281283,0.000001810011,0.000002715822,0.001071688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2554913,"threshold_uncertainty_score":0.9999051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546577238652164,"score_gpt":0.3050914976652971,"score_spread":0.2896257252787755,"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."}}