{"id":"W4242033507","doi":"10.1038/nbt.3937","title":"Second-quarter biotech job picture","year":2017,"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"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003818526,0.0002114593,0.000399456,0.0004453806,0.0004018613,0.00004527155,0.0008329963,0.002703696,0.0007229013],"category_scores_gemma":[0.001030138,0.0001457343,0.0001061323,0.0002487317,0.001059784,0.0001024611,0.0002166022,0.002889475,0.0001854212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006904835,"about_ca_system_score_gemma":0.0001622078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001686185,"about_ca_topic_score_gemma":0.00007610047,"domain_scores_codex":[0.9981647,0.00001668721,0.0001965312,0.0005723552,0.0004462022,0.0006035595],"domain_scores_gemma":[0.9976861,0.00003407324,0.0001145164,0.001801861,0.0001406334,0.0002228358],"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":[0.000340679,0.0002148211,0.02248671,0.0002176795,0.000162152,0.001207473,0.0002779047,6.32356e-8,0.7246174,0.02079059,0.1307767,0.0989079],"study_design_scores_gemma":[0.002432884,0.0008202743,0.1387189,0.0001077489,0.00005056504,0.0007378891,0.000264341,0.00004222074,0.2631464,0.001154138,0.5922776,0.0002469526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8289786,0.002115581,0.0001871836,0.1299764,0.001641068,0.0006230856,0.00001608078,0.0004656227,0.03599634],"genre_scores_gemma":[0.9888498,0.0002099516,0.001002768,0.003529719,0.0005707367,0.00001243041,0.000008851016,0.00002046534,0.005795309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.461501,"threshold_uncertainty_score":0.9994109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282691322153089,"score_gpt":0.3325410807919182,"score_spread":0.3197141675703873,"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."}}