{"id":"W4210440219","doi":"10.1038/s41587-021-01011-5","title":"Second-quarter biotech job picture","year":2021,"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); Snapshot (computer storage); Biotechnology; Job creation; Business; Biology; Economics; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006212975,0.000363652,0.0002603333,0.0007916209,0.003160516,0.003891895,0.0006878391,0.002480739,0.201136],"category_scores_gemma":[0.001129803,0.0001455361,0.0002288577,0.0006468802,0.0003951617,0.001639534,0.001533532,0.00267696,0.07594151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724064,"about_ca_system_score_gemma":0.003283501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403731,"about_ca_topic_score_gemma":0.03475284,"domain_scores_codex":[0.9994596,0.00002456879,0.000009825945,0.00004465496,0.0002452563,0.0002162939],"domain_scores_gemma":[0.9986129,0.00004781819,0.0000315453,0.00002664881,0.0002946882,0.0009864022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000074382,0.00003700478,0.0006623156,0.00002777423,9.470161e-7,0.00007857443,0.000082261,0.00003691969,0.0004047515,0.002988274,0.9827738,0.01283306],"study_design_scores_gemma":[0.0000172403,0.0000345421,0.008774444,0.00002712598,0.000001042475,0.00006958983,0.00092255,0.0001020371,0.0001859465,0.0008589796,0.9889975,0.000009077224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02187742,0.001780911,0.000664547,0.2128757,0.03362645,0.00009160386,0.008336285,0.0006365937,0.7201105],"genre_scores_gemma":[0.02140618,0.000482975,0.0001177626,0.01247856,0.001649093,0.00002819634,0.00157625,0.0001023924,0.9621586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.201136,"threshold_uncertainty_score":0.6728668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003753949792699154,"score_gpt":0.2389477687411786,"score_spread":0.2351938189484794,"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."}}