{"id":"W4231289231","doi":"10.1038/s41587-020-0416-4","title":"Fourth-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":"Snapshot (computer storage); Quarter (Canadian coin); Job creation; Biotechnology; Business; Biology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009850712,0.000435278,0.0002958578,0.0008111668,0.002947893,0.004517958,0.0008290416,0.002991876,0.1848667],"category_scores_gemma":[0.001452827,0.0001741366,0.000297314,0.0006297324,0.0005100809,0.001763891,0.00170947,0.003184855,0.08297118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182936,"about_ca_system_score_gemma":0.004298278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153474,"about_ca_topic_score_gemma":0.02804482,"domain_scores_codex":[0.9993125,0.0000359525,0.00001409637,0.00005343335,0.0003270734,0.00025692],"domain_scores_gemma":[0.9980534,0.00006029209,0.00004021627,0.0000402213,0.0003854124,0.001420453],"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":[0.00005755073,0.00003357305,0.0004280049,0.00002145771,9.619935e-7,0.00004006119,0.00003411225,0.00003510582,0.0002536554,0.002408374,0.9848077,0.01187931],"study_design_scores_gemma":[0.00001897783,0.00003486205,0.004972634,0.00002945899,0.000001252719,0.00004153908,0.0004555109,0.0001059211,0.0001569094,0.001069231,0.9931049,0.000008811666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0145849,0.002595158,0.000874076,0.3217445,0.05787601,0.00009013792,0.00703369,0.0008328409,0.5943686],"genre_scores_gemma":[0.018172,0.0007432686,0.0001871636,0.01677596,0.002573868,0.00003173151,0.001477364,0.000115022,0.9599236],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1848667,"threshold_uncertainty_score":0.6184406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476021122812033,"score_gpt":0.3019021162756701,"score_spread":0.2871419050475498,"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."}}