{"id":"W1975433241","doi":"10.1016/s0167-7799(03)00004-0","title":"A new science–business paradigm in anticancer drug development","year":2003,"lang":"en","type":"article","venue":"Trends in biotechnology","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Stem Cell Network","keywords":"Drug development; Drug; Drug discovery; Anticancer drug; Computational biology; Chemistry; Data science; Business; Nanotechnology; Engineering ethics; Pharmacology; Computer science; Biology; Bioinformatics; Engineering; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.006517872,0.0009379409,0.0009112291,0.001723053,0.002434973,0.007030062,0.001874019,0.004515314,0.01350137],"category_scores_gemma":[0.009103373,0.0005170378,0.001033132,0.001569365,0.00990293,0.01848808,0.004167332,0.005523002,0.00279169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003060319,"about_ca_system_score_gemma":0.004291078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007339467,"about_ca_topic_score_gemma":0.000792791,"domain_scores_codex":[0.9962472,0.001939418,0.000125055,0.0003647051,0.001178183,0.0001453465],"domain_scores_gemma":[0.9939194,0.003879466,0.0002721624,0.0005784007,0.0007023134,0.0006482799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000172894,0.0000330273,0.0000748016,0.00006299845,0.000009872385,0.00003341352,0.00007640805,0.000747251,0.0001773049,0.9742702,0.006885939,0.01761149],"study_design_scores_gemma":[0.000020021,0.00001568632,0.00004176526,0.00003196392,0.000005964916,0.00004379863,0.00007900952,0.003552297,0.0001071432,0.9622886,0.03380765,0.000006210563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01202294,0.01324621,0.4696212,0.2653475,0.005711978,0.000262641,0.000255901,0.000405379,0.2331262],"genre_scores_gemma":[0.5926017,0.0173404,0.2896758,0.03175947,0.01075674,0.001238239,0.0002731427,0.0003221304,0.05603239],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01350137,"threshold_uncertainty_score":0.04516661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302239953990995,"score_gpt":0.3142804411253301,"score_spread":0.2912580415854201,"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."}}