{"id":"W4206128960","doi":"10.1038/s41587-020-0723-9","title":"Third-quarter biotech job picture","year":2020,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Biotechnology; 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":[0.00008258236,0.0003003994,0.0004959122,0.0002769105,0.0001165653,0.000009674132,0.0003825054,0.03835422,0.0002037672],"category_scores_gemma":[0.0002862705,0.00022668,0.000177151,0.0009539595,0.0004217988,0.00004375766,0.0001580271,0.01810597,0.0004671309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003518426,"about_ca_system_score_gemma":0.00007040158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001914797,"about_ca_topic_score_gemma":0.000002059456,"domain_scores_codex":[0.9983814,0.00002288958,0.0002888809,0.0006501956,0.000191581,0.0004650649],"domain_scores_gemma":[0.9990171,0.0000282162,0.00008633914,0.0006360083,0.0000669892,0.0001653247],"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":[0.0007672967,0.0002265384,0.002427733,0.0002277033,0.0006610389,0.001244082,0.0003502998,0.000001819564,0.5770018,0.1423514,0.2591438,0.01559646],"study_design_scores_gemma":[0.001593308,0.001023995,0.002083346,0.00005211494,0.0001584466,0.000727694,0.0002130363,0.0001568576,0.3534315,0.0008302428,0.639382,0.0003474753],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09168541,0.004619043,0.001708392,0.8903842,0.0006188562,0.0004971458,0.00001128958,0.002577318,0.007898326],"genre_scores_gemma":[0.9561276,0.0007233171,0.003315077,0.03912207,0.0002984599,0.00000944118,0.00001959975,0.00003355104,0.0003509241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8644422,"threshold_uncertainty_score":0.9841593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00616678245845795,"score_gpt":0.2387555606292108,"score_spread":0.2325887781707529,"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."}}