{"id":"W4206698170","doi":"10.1038/s41587-021-00919-2","title":"First-quarter biotech job picture","year":2021,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Biotechnology; Business; Biology; Geography","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":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0002487796,0.0001988639,0.0003873327,0.0004168551,0.0001344217,0.00001583154,0.0002953816,0.002553072,0.0006188386],"category_scores_gemma":[0.001034494,0.0001447528,0.0001158309,0.001392353,0.0004516771,0.00004579532,0.0001485827,0.00266708,0.0001576998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009149122,"about_ca_system_score_gemma":0.0002806697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000106194,"about_ca_topic_score_gemma":0.00007052893,"domain_scores_codex":[0.9980416,0.00002542609,0.0002136415,0.0006218071,0.0005134545,0.0005840202],"domain_scores_gemma":[0.9985319,0.00006662703,0.00004506584,0.000900647,0.0002443996,0.0002113616],"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":[0.0003151458,0.0005523614,0.01548091,0.0004417549,0.0002543717,0.006071377,0.0005449331,0.000001616381,0.7141069,0.0316662,0.179324,0.05124037],"study_design_scores_gemma":[0.00172767,0.0004907188,0.02024348,0.0001293375,0.00005783668,0.001814983,0.0006342478,0.00008772262,0.3257412,0.0008284413,0.648043,0.0002013059],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5940678,0.01406984,0.001118094,0.3741078,0.00200106,0.0006483544,0.0000178354,0.0008972787,0.01307198],"genre_scores_gemma":[0.9837576,0.0008982858,0.003133201,0.007529434,0.0005086529,0.0000141802,0.00002626201,0.00002328796,0.004109053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.468719,"threshold_uncertainty_score":0.9996338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008985739603203025,"score_gpt":0.2987570038258902,"score_spread":0.2897712642226872,"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."}}