{"id":"W4206136743","doi":"10.1038/s41587-020-0515-2","title":"First-quarter biotech job picture","year":2020,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Snapshot (computer storage); Job creation; Biotechnology; Business; Biology; Economics; Labour economics; Computer science; 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":[0.0001799974,0.0002089653,0.0003929049,0.0003147371,0.0001110016,0.00001221842,0.0004200261,0.00224375,0.0003837162],"category_scores_gemma":[0.0009694067,0.0001458122,0.0001030992,0.00124874,0.0004732047,0.00004843809,0.0001339581,0.00284773,0.0002529114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005715517,"about_ca_system_score_gemma":0.0001267566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009677199,"about_ca_topic_score_gemma":0.00001392332,"domain_scores_codex":[0.9981349,0.00001756946,0.0002130416,0.000597565,0.0004951343,0.0005418002],"domain_scores_gemma":[0.9988951,0.00004845416,0.00005058909,0.0005426159,0.0001115982,0.0003516272],"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":[0.0009802169,0.0003021024,0.01606608,0.00065138,0.0002418254,0.00200038,0.001736498,0.000003282292,0.5421422,0.019872,0.3691154,0.04688868],"study_design_scores_gemma":[0.00238613,0.001804556,0.01308543,0.00008878623,0.00006592828,0.0003931874,0.0006689274,0.0005172369,0.1310275,0.0003509719,0.8493503,0.0002609784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2935572,0.004043007,0.001310369,0.6935765,0.0006882892,0.0007773091,0.00001326031,0.0009936781,0.005040356],"genre_scores_gemma":[0.9750431,0.0003560211,0.001818245,0.0216059,0.0006759138,0.00001191877,0.00001184688,0.0000223089,0.0004547147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.681486,"threshold_uncertainty_score":0.9994528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320514402358431,"score_gpt":0.2932436854356024,"score_spread":0.2800385414120181,"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."}}