{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008352674,0.0003937229,0.0002934677,0.0007547336,0.003360719,0.00452956,0.0006953173,0.002945241,0.161206],"category_scores_gemma":[0.001371319,0.0001549245,0.0002516595,0.000617013,0.0005017851,0.001929792,0.001683194,0.003449346,0.05952681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821485,"about_ca_system_score_gemma":0.003535527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132039,"about_ca_topic_score_gemma":0.02880121,"domain_scores_codex":[0.9993815,0.00003204368,0.0000124572,0.00005275579,0.0002769863,0.0002441146],"domain_scores_gemma":[0.9982972,0.00006024162,0.00003870118,0.00003434101,0.0002971804,0.001272444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007593702,0.00003609618,0.000578662,0.00002501213,0.00000118618,0.00006775189,0.00007142819,0.00003307028,0.0003586751,0.003721125,0.9826317,0.01239939],"study_design_scores_gemma":[0.00002127947,0.00003742072,0.007744254,0.00003143055,0.00000132885,0.00007235935,0.0007570575,0.0001020293,0.0001819773,0.001283974,0.989756,0.00001088498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.01989279,0.002724018,0.0007028418,0.3758895,0.04354039,0.00007081837,0.00658672,0.0006344882,0.5499584],"genre_scores_gemma":[0.03094494,0.0008845836,0.0001625346,0.02678682,0.003290056,0.00003450335,0.001640449,0.0001340363,0.9361221],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.161206,"threshold_uncertainty_score":0.5392879,"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."}}