{"id":"W4248672676","doi":"10.1038/nbt.2991","title":"Second-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; Business; Job creation; 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":[0.0005090638,0.0002132221,0.0004049669,0.0006148121,0.0001059214,0.0000131358,0.0003941642,0.002617646,0.0007374086],"category_scores_gemma":[0.0007570055,0.0001462911,0.00009796155,0.0008307601,0.0005547793,0.00004929759,0.0001014357,0.002757005,0.0002213643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006534958,"about_ca_system_score_gemma":0.0001050663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006444503,"about_ca_topic_score_gemma":0.00003345862,"domain_scores_codex":[0.998113,0.00003725211,0.0002196717,0.000565395,0.0004574758,0.0006072342],"domain_scores_gemma":[0.9986431,0.00007471156,0.00005835345,0.0008660932,0.0001299096,0.0002278548],"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":[0.0002344886,0.0001907627,0.006279747,0.00021746,0.0001003893,0.0001991918,0.0002540768,2.44248e-7,0.7268869,0.03877339,0.1214905,0.1053729],"study_design_scores_gemma":[0.001797421,0.001078435,0.02081386,0.00006624826,0.00003757315,0.0005320409,0.0001988915,0.000140132,0.1959556,0.001259418,0.777918,0.0002023909],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8573682,0.002134235,0.00176936,0.09981944,0.001516726,0.0007083247,0.00001002728,0.0009158441,0.03575788],"genre_scores_gemma":[0.9862155,0.00009889368,0.001586835,0.008187165,0.0006049071,0.00001234719,0.00001394382,0.0000221791,0.003258265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6564275,"threshold_uncertainty_score":0.9995437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006485289253559251,"score_gpt":0.2877956068568012,"score_spread":0.281310317603242,"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."}}