{"id":"W1590716769","doi":"","title":"Speed up drug-approval process, feds told","year":2002,"lang":"en","type":"article","venue":"PubMed Central","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug approval; Process (computing); Operations research; Computer science; Medicine; Drug; Engineering; Pharmacology","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":[0.01170029,0.001118572,0.0007002231,0.001540528,0.0107652,0.008341325,0.001855305,0.03001263,0.02541377],"category_scores_gemma":[0.02559134,0.0009279987,0.001708759,0.0008199707,0.004435573,0.004547059,0.002247302,0.02006444,0.008003411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01823404,"about_ca_system_score_gemma":0.03966119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4214298,"about_ca_topic_score_gemma":0.6129255,"domain_scores_codex":[0.9934049,0.0009627376,0.0004333392,0.0005030973,0.003187695,0.001508285],"domain_scores_gemma":[0.9868386,0.004150711,0.0003958471,0.0005904805,0.005007702,0.003016626],"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":[0.00007336104,0.00002516743,0.0005272388,0.00003726314,0.00001306531,0.0001276908,0.0001366022,0.00003876658,0.0002502115,0.004296925,0.9863293,0.008144502],"study_design_scores_gemma":[0.00008185516,0.00004761296,0.001863957,0.00005195925,0.00002486436,0.00007313521,0.0002687195,0.0001318186,0.0005151071,0.0009402483,0.9959632,0.0000377147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001996705,0.005254989,0.0007572868,0.9450731,0.02028923,0.0001329955,0.000785622,0.0004218676,0.02528805],"genre_scores_gemma":[0.01856549,0.002979725,0.003210313,0.7688196,0.003322015,0.0001230717,0.0005534745,0.0001458896,0.2022803],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4214298,"threshold_uncertainty_score":0.8379537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3972706590429085,"score_gpt":0.48152978896184,"score_spread":0.08425912991893147,"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."}}