{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009460575,0.0004437144,0.0003325206,0.0008244943,0.003093841,0.004971693,0.0007947595,0.002900578,0.2654472],"category_scores_gemma":[0.00163944,0.0001854962,0.0002885443,0.000716932,0.0004731038,0.002322125,0.001703271,0.003537516,0.12391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164929,"about_ca_system_score_gemma":0.003890956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008567033,"about_ca_topic_score_gemma":0.0219847,"domain_scores_codex":[0.9992886,0.00003827905,0.00001566321,0.00006276664,0.0003361174,0.0002586305],"domain_scores_gemma":[0.9976441,0.00007439031,0.00004582814,0.00004057636,0.0004363555,0.001758717],"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":[0.00005274203,0.00003416328,0.0003580969,0.00002553622,9.848576e-7,0.00003936672,0.00003237909,0.00002312565,0.0002132202,0.002196722,0.9846616,0.01236199],"study_design_scores_gemma":[0.00001834845,0.00003295258,0.003863095,0.00003640349,0.000001170639,0.00005104954,0.0004604135,0.00007132816,0.0001308028,0.001051739,0.9942738,0.000008825403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009117884,0.003263442,0.000769239,0.2813027,0.0559629,0.00008588075,0.007319062,0.0008018027,0.6413772],"genre_scores_gemma":[0.0184215,0.001197821,0.0002101796,0.02141822,0.003497201,0.00003157437,0.001837788,0.0001775532,0.9532081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2654472,"threshold_uncertainty_score":0.8880093,"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."}}