{"id":"W4320913625","doi":"10.1038/s41587-023-01666-2","title":"Fourth-quarter biotech job picture","year":2023,"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); Biotechnology; Business; Biology; History","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0009629921,0.0004251111,0.0002920434,0.0008061612,0.002926669,0.004437929,0.0008148433,0.002937074,0.1819775],"category_scores_gemma":[0.001424926,0.0001710527,0.0002940766,0.0006265279,0.0005021306,0.001722973,0.001693351,0.003175312,0.08033721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180888,"about_ca_system_score_gemma":0.004171849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01160609,"about_ca_topic_score_gemma":0.02826648,"domain_scores_codex":[0.9993259,0.0000346028,0.00001383451,0.00005190241,0.0003209262,0.0002528368],"domain_scores_gemma":[0.9980929,0.00005998144,0.00004046941,0.00003969188,0.0003821209,0.001384732],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005857705,0.00003354453,0.0004524041,0.00002158033,9.674656e-7,0.00004148011,0.00003537916,0.00003568348,0.0002555117,0.002411152,0.9846995,0.01195425],"study_design_scores_gemma":[0.00001910817,0.00003519512,0.005341786,0.00003015699,0.000001273837,0.0000436996,0.0004819841,0.0001085837,0.0001608186,0.001069462,0.992699,0.000008912554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0152049,0.002598609,0.000863746,0.3248843,0.05715921,0.00009005393,0.007155501,0.0008254319,0.5912183],"genre_scores_gemma":[0.0190609,0.000747874,0.0001851501,0.01690574,0.002599994,0.00003176899,0.001492802,0.000114492,0.9588614],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.999037,"threshold_uncertainty_score":0.6087753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341817387914988,"score_gpt":0.3236325653416336,"score_spread":0.3102143914624838,"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."}}