{"id":"W4280550581","doi":"10.1038/s41587-022-01313-2","title":"First-quarter biotech job picture","year":2022,"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); Biotechnology; Job creation; Business; Biology; Economics; Labour economics; 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004557407,0.0001881347,0.0003400001,0.0007436175,0.0003840618,0.000009095857,0.0005230412,0.001133089,0.001394152],"category_scores_gemma":[0.0003773683,0.0001434611,0.0001060512,0.001484186,0.0004103478,0.00003585876,0.000336957,0.004070439,0.00006812959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954422,"about_ca_system_score_gemma":0.0001746131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002428001,"about_ca_topic_score_gemma":0.00002336533,"domain_scores_codex":[0.9978439,0.00003738706,0.0002076018,0.0005696517,0.0007495224,0.0005919974],"domain_scores_gemma":[0.998842,0.00005805187,0.00005917482,0.0007901257,0.00007985059,0.0001708018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001246957,0.001014084,0.02158049,0.0003569364,0.0003073923,0.00334558,0.001539945,0.0000228736,0.3355938,0.04440918,0.5314053,0.05917746],"study_design_scores_gemma":[0.001818311,0.001590927,0.01100512,0.00002600848,0.00004410543,0.001372599,0.001256433,0.0002073847,0.02664971,0.0007493332,0.9550785,0.0002015212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6820494,0.006686303,0.0004021094,0.2986433,0.002287108,0.001158495,0.00003977163,0.001020568,0.007712933],"genre_scores_gemma":[0.9886538,0.0001828083,0.0008759181,0.007150482,0.0003078542,0.00006253093,0.0000237086,0.00002315981,0.002719756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4236732,"threshold_uncertainty_score":0.9995187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008400085781457471,"score_gpt":0.2888434868058425,"score_spread":0.2804434010243851,"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."}}