{"id":"W2321842580","doi":"10.1021/cen-v088n006.p011","title":"MORE R&D CUTS FROM BIG PHARMA","year":2010,"lang":"en","type":"article","venue":"Chemical & Engineering News","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vrije Universiteit Brussel; AstraZeneca; Pfizer","keywords":"Business; Economics; Chemistry; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003478354,0.000244797,0.0001841956,0.000012204,0.00002515383,0.00002704575,0.0003728404,0.0001835019,0.002391557],"category_scores_gemma":[0.0001298842,0.0002479533,0.00009930139,0.0001762406,0.00007032192,0.00008485168,0.0002056028,0.0006168457,0.0003995383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006380277,"about_ca_system_score_gemma":0.000004397425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000980442,"about_ca_topic_score_gemma":0.000002602003,"domain_scores_codex":[0.9987997,0.000001452146,0.0002060293,0.0003844134,0.0002241197,0.0003843271],"domain_scores_gemma":[0.999191,0.00007021457,0.00002745873,0.0003897354,0.000004318048,0.000317303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004198962,0.00002958564,0.0004245536,0.00001000348,0.00000874483,0.000005087473,0.0000492377,0.001112018,0.9932003,0.000007299413,0.002304607,0.002844381],"study_design_scores_gemma":[0.0002257678,0.000001489659,0.0002735997,0.00001064985,0.00001136309,0.0000101519,0.000003004138,0.002990476,0.8812172,0.00004339928,0.1149144,0.0002984628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938208,0.00002453819,0.001397396,0.0002045157,0.0003739205,0.00005502632,0.00001407838,0.0002931059,0.003816648],"genre_scores_gemma":[0.9908614,0.0000047533,0.007901251,0.0001257635,0.0006148232,0.00001925662,0.00005738739,0.00004253308,0.0003728785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1126098,"threshold_uncertainty_score":0.9999973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006912507085492697,"score_gpt":0.2026004398674293,"score_spread":0.1956879327819366,"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."}}