{"id":"W4250975708","doi":"10.1038/nbt1110-1218","title":"Third-quarter biotech job picture","year":2010,"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); Business; Job creation; Biotechnology; Biology; Labour economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0004433679,0.0002193298,0.0003703872,0.0006406978,0.0001247861,0.00001556832,0.0004763068,0.003793943,0.0003427844],"category_scores_gemma":[0.0009297383,0.0001465069,0.0001046133,0.000967907,0.0008241006,0.00005709648,0.0001172912,0.006182281,0.0002173737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003719217,"about_ca_system_score_gemma":0.0001889199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001689821,"about_ca_topic_score_gemma":0.00007760173,"domain_scores_codex":[0.9980351,0.00001710035,0.0002185795,0.0005687316,0.0005322164,0.0006282119],"domain_scores_gemma":[0.99847,0.00005773498,0.00005713689,0.0009963121,0.0001661671,0.0002526607],"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":[0.00008794032,0.00009264831,0.004450769,0.00004007377,0.00003234553,0.0002085409,0.0001061375,2.779783e-8,0.9218436,0.01359009,0.04154785,0.01799997],"study_design_scores_gemma":[0.001738572,0.0007342051,0.03137417,0.00004687798,0.0000501394,0.001193384,0.0003284347,0.00005917129,0.3890581,0.001260532,0.5739199,0.0002365064],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8762783,0.0009704675,0.0002160505,0.1035644,0.002127005,0.0005406791,0.000007416048,0.0007074615,0.0155882],"genre_scores_gemma":[0.9890165,0.0001423304,0.00288607,0.005075215,0.0007381462,0.00001439745,0.00001221158,0.00002129621,0.002093831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5327855,"threshold_uncertainty_score":0.9974993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006477542613591742,"score_gpt":0.3025501192526627,"score_spread":0.296072576639071,"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."}}