{"id":"W4241508671","doi":"10.1038/nbt.3875","title":"First-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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009743506,0.0004488576,0.0003435755,0.0008238071,0.00325605,0.004975327,0.0007780764,0.00290626,0.2341559],"category_scores_gemma":[0.001664245,0.0001827447,0.0002860953,0.0007200571,0.0005125309,0.002474588,0.001820822,0.003737928,0.1047468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632072,"about_ca_system_score_gemma":0.003743578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007822252,"about_ca_topic_score_gemma":0.0202996,"domain_scores_codex":[0.9992829,0.00003959991,0.00001657097,0.00006328041,0.0003274498,0.0002701835],"domain_scores_gemma":[0.997617,0.00007502694,0.00005007671,0.00004337194,0.0004020273,0.001812483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006091527,0.00003571727,0.0004318327,0.000027561,0.000001177563,0.0000451773,0.00003908018,0.00002341433,0.000232847,0.002498994,0.9834985,0.01310475],"study_design_scores_gemma":[0.00002070114,0.00003728416,0.004758405,0.00004044803,0.000001391074,0.00005982263,0.0005583985,0.00007693159,0.0001583022,0.001246412,0.9930315,0.00001044832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01189475,0.003826332,0.0008101875,0.3454457,0.05605315,0.00008259989,0.007930818,0.0008611161,0.5730953],"genre_scores_gemma":[0.02619945,0.001511954,0.000238451,0.02583667,0.004293616,0.00003605214,0.00216714,0.0002068987,0.9395098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2341559,"threshold_uncertainty_score":0.7833295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304737611496465,"score_gpt":0.3275840945295235,"score_spread":0.3145367184145589,"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."}}