{"id":"W1582842587","doi":"10.18433/j39w2g","title":"New Perspectives on Innovative Drug Discovery: An Overview","year":2010,"lang":"en","type":"review","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Drug discovery; Risk analysis (engineering); Emerging technologies; Data science; Business; Medicine; Computer science; Bioinformatics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001771177,0.00163657,0.002520354,0.005288007,0.0005517101,0.002614301,0.001816304,0.002872282,0.00561443],"category_scores_gemma":[0.001840481,0.0005696632,0.0009581959,0.005208938,0.001413557,0.004949707,0.001485932,0.00427618,0.003801526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415146,"about_ca_system_score_gemma":0.001562911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007495983,"about_ca_topic_score_gemma":0.001375282,"domain_scores_codex":[0.9993438,0.0001749976,0.00007523425,0.00009161296,0.00025985,0.00005440539],"domain_scores_gemma":[0.9983526,0.001091426,0.0001019396,0.00005027352,0.0002735654,0.00013007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000957345,0.0002025018,0.000198612,0.01936651,0.0001363426,0.000484956,0.0001320051,0.0009741582,0.00121085,0.03452518,0.04797992,0.8946931],"study_design_scores_gemma":[0.00003677239,0.0001448734,0.0003400766,0.004401268,0.00006046252,0.001588308,0.0000901298,0.0003812565,0.0002673107,0.0183411,0.9743182,0.00003016294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000585286,0.9967547,0.0006025297,0.0008887531,0.0003650681,0.000005421278,0.00001008919,0.00001004152,0.001304807],"genre_scores_gemma":[0.0004623851,0.9975464,0.0006274745,0.0004748287,0.0005148987,0.00001200005,0.00001415398,0.000002186522,0.0003456589],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00561443,"threshold_uncertainty_score":0.01878214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2533341376960374,"score_gpt":0.5372905782561057,"score_spread":0.2839564405600683,"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."}}