{"id":"W4206607871","doi":"10.1038/s41587-020-0622-0","title":"Second-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); 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":[0.0006275869,0.000369297,0.0002619884,0.0007939201,0.003138792,0.003937528,0.0006992356,0.002525259,0.203438],"category_scores_gemma":[0.001135515,0.0001477533,0.0002321707,0.0006437926,0.0003982818,0.001648988,0.001528645,0.002687973,0.07870185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723491,"about_ca_system_score_gemma":0.003346231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01420573,"about_ca_topic_score_gemma":0.03480405,"domain_scores_codex":[0.9994572,0.00002478727,0.000009869857,0.00004534003,0.0002473062,0.0002154789],"domain_scores_gemma":[0.9986235,0.00004744521,0.00003087013,0.00002662946,0.000294938,0.0009766229],"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":[0.00007474052,0.00003734352,0.0006274087,0.00002733205,9.417366e-7,0.00007477815,0.00007741669,0.00003686027,0.0004057266,0.002985319,0.9828413,0.01281088],"study_design_scores_gemma":[0.0000175289,0.00003476063,0.008350022,0.00002641437,0.000001041602,0.00006564247,0.0008718099,0.000102127,0.0001851348,0.00085423,0.9894823,0.000008978318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02099224,0.001744596,0.0006714519,0.2057027,0.03361458,0.00009253694,0.00825993,0.0006476099,0.7282745],"genre_scores_gemma":[0.02037034,0.0004697119,0.0001177831,0.01218888,0.001602159,0.00002807126,0.001554301,0.0001014921,0.9635672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.203438,"threshold_uncertainty_score":0.6805681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005779397979321136,"score_gpt":0.2338308883097226,"score_spread":0.2280514903304015,"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."}}