{"id":"W2973797496","doi":"10.1002/ange.201909343","title":"Medikamentenentwicklung mithilfe der Evolution (Nobel‐Vortrag)","year":2019,"lang":"de","type":"article","venue":"Angewandte Chemie","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009598932,0.000786744,0.0005018655,0.0005995124,0.0004863078,0.001042055,0.0005539823,0.001258614,0.004388541],"category_scores_gemma":[0.0004799293,0.0002935443,0.0006381746,0.0003071416,0.0005342876,0.0006823891,0.00120079,0.00243212,0.002534234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007795287,"about_ca_system_score_gemma":0.0005421579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007207583,"about_ca_topic_score_gemma":0.0008988943,"domain_scores_codex":[0.9995704,0.0000826519,0.00001668383,0.00008350909,0.0001585873,0.0000881724],"domain_scores_gemma":[0.9998413,0.00003247848,0.00002483841,0.00001334708,0.0000350398,0.00005296208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001253562,0.000457337,0.0008188805,0.001226427,0.000171662,0.0004792805,0.0002435823,0.001470023,0.475376,0.02382842,0.03008423,0.4645905],"study_design_scores_gemma":[0.0001188389,0.001327596,0.001243185,0.0001404593,0.0001147813,0.0009964966,0.00004363451,0.001356609,0.5236522,0.003638483,0.4673008,0.00006689741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1873399,0.5484993,0.1272223,0.02563451,0.02628218,0.00060215,0.001392062,0.00277858,0.08024907],"genre_scores_gemma":[0.5390823,0.191277,0.05960539,0.006571106,0.002186521,0.0007311458,0.001729456,0.0004508691,0.1983661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004388541,"threshold_uncertainty_score":0.01468116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794919170936931,"score_gpt":0.2817571632563347,"score_spread":0.2638079715469653,"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."}}