{"id":"W4251202744","doi":"10.1038/s41587-019-0120-4","title":"First-quarter biotech job picture","year":2019,"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); Business; Biotechnology; Biology; 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":["research_integrity"],"category_scores_codex":[0.000304631,0.0002117431,0.0004064849,0.0006134968,0.00008171418,0.00001194484,0.000410283,0.002653717,0.0008234598],"category_scores_gemma":[0.0003602247,0.0001442232,0.000105544,0.0009931591,0.0003622248,0.00005726177,0.000120757,0.002659749,0.000789128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009374233,"about_ca_system_score_gemma":0.0001298665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001733166,"about_ca_topic_score_gemma":0.00002466603,"domain_scores_codex":[0.9980432,0.00001690111,0.0002065331,0.0005960161,0.0005276536,0.000609743],"domain_scores_gemma":[0.9986256,0.00006282932,0.00005508164,0.0009477331,0.0001244636,0.0001842766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007980555,0.0004779405,0.09018195,0.0007041106,0.0002606537,0.0008173283,0.0006907549,0.000003533351,0.6867118,0.03730726,0.1413624,0.0406841],"study_design_scores_gemma":[0.003260977,0.001769762,0.05628246,0.0001968238,0.00005620707,0.0007662326,0.0006222988,0.000272131,0.1207715,0.0007649843,0.8149153,0.0003213618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835636,0.002647239,0.0001943186,0.1001562,0.001401608,0.0008956242,0.000007108837,0.0005531828,0.01058114],"genre_scores_gemma":[0.9889304,0.0002935454,0.001151438,0.004622919,0.0003204257,0.00001198243,0.00001202808,0.00002270608,0.004634528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6735528,"threshold_uncertainty_score":0.9999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006156426532211907,"score_gpt":0.2835216534233238,"score_spread":0.2773652268911119,"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."}}