{"id":"W4255273318","doi":"10.1002/bmb.2002.494030020064","title":"Commentary","year":2002,"lang":"en","type":"article","venue":"Biochemistry and Molecular Biology Education","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Political science; Public relations; Business; Biotechnology; Economic growth; Economics; Biology","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":[0.00485966,0.0009170495,0.0008995703,0.00164902,0.004811496,0.006430335,0.003219679,0.01503269,0.2126958],"category_scores_gemma":[0.04043739,0.0004784924,0.00156816,0.001345884,0.002987294,0.005289359,0.003459093,0.01350233,0.08766291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006287304,"about_ca_system_score_gemma":0.01205192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008669021,"about_ca_topic_score_gemma":0.01008632,"domain_scores_codex":[0.9940176,0.001167692,0.0003359438,0.0009876901,0.00250109,0.0009900341],"domain_scores_gemma":[0.981869,0.0065335,0.0006381795,0.001076658,0.008040244,0.001842408],"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":[0.00001091006,0.000003370227,0.00002399329,0.0000817888,0.000002404035,0.00005623042,0.00005909646,0.000008253422,0.00001712424,0.003675563,0.9910378,0.005023484],"study_design_scores_gemma":[0.000005437945,0.00000320669,0.00006308178,0.0002385004,0.000002636863,0.00006817724,0.00009368695,0.000008033796,0.00003015087,0.001128239,0.9983546,0.000004234915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003372859,0.009475145,0.0004804732,0.5611575,0.2678323,0.00009173909,0.00123102,0.0002386797,0.1591559],"genre_scores_gemma":[0.00580689,0.006334487,0.000376362,0.6694734,0.06589966,0.0001590444,0.000822797,0.0003109742,0.2508165],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2126958,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005131543945086948,"score_gpt":0.2585639964697591,"score_spread":0.2534324525246721,"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."}}