{"id":"W4236389725","doi":"10.1038/nbt.3065","title":"Third-quarter biotech job picture","year":2014,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Biotechnology; Biology; Geography; Archaeology","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"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0005713649,0.0002176074,0.000415238,0.0006088468,0.0001165027,0.00001359293,0.0004225731,0.002748205,0.0001455154],"category_scores_gemma":[0.001066395,0.0001454782,0.0001026367,0.0009164838,0.000605019,0.00004812439,0.0001100077,0.002877999,0.0002285771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006591654,"about_ca_system_score_gemma":0.0001057665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000132344,"about_ca_topic_score_gemma":0.00001858318,"domain_scores_codex":[0.9980056,0.00003971852,0.0002240891,0.0005705741,0.0005391336,0.0006208333],"domain_scores_gemma":[0.9985886,0.000078932,0.00005957355,0.0009058881,0.0001415375,0.000225492],"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":[0.0003225965,0.0002597753,0.01099356,0.000208428,0.0001168876,0.0002467044,0.0003464266,5.459937e-7,0.64467,0.06264967,0.1735701,0.1066153],"study_design_scores_gemma":[0.002286535,0.001471735,0.02505752,0.0001078061,0.00006250427,0.0006340937,0.0003261503,0.0002694428,0.1892673,0.00206206,0.7781852,0.0002696097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7407066,0.003119731,0.003534004,0.2015371,0.001985497,0.0009430734,0.00000803179,0.001439423,0.04672653],"genre_scores_gemma":[0.9870335,0.0001821251,0.002024903,0.00803468,0.0006411805,0.00001254247,0.000011751,0.00002076544,0.002038552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6046152,"threshold_uncertainty_score":0.9994224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007047999889870378,"score_gpt":0.2937754035621369,"score_spread":0.2867274036722666,"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."}}