{"id":"W2038644375","doi":"10.1016/j.ejca.2011.09.024","title":"Targeted agents: How to select the winners in preclinical and early clinical studies?","year":2011,"lang":"en","type":"review","venue":"European Journal of Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Drug development; Clinical trial; Medicine; Task force; Mechanism (biology); Targeted therapy; Drug discovery; Drug; Cancer; Pharmacology; Bioinformatics; Internal medicine; Biology; Political science","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":[0.005661833,0.001529834,0.004544802,0.001534388,0.0004154781,0.003526597,0.002137922,0.003284996,0.004703388],"category_scores_gemma":[0.004961824,0.0005008848,0.0008945215,0.001281505,0.001246668,0.004060492,0.001150956,0.00486365,0.003072306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552629,"about_ca_system_score_gemma":0.002107604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009480276,"about_ca_topic_score_gemma":0.003238326,"domain_scores_codex":[0.9990711,0.000254888,0.0001050676,0.0001438816,0.0003244392,0.0001006452],"domain_scores_gemma":[0.9970726,0.001618165,0.0002787865,0.00006908271,0.0006691305,0.0002922487],"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":[0.0003743362,0.0001987177,0.0005159666,0.004280712,0.0001178007,0.0001893071,0.0000358353,0.0004604744,0.002088312,0.00546109,0.06501761,0.9212598],"study_design_scores_gemma":[0.0005004773,0.0007736271,0.002022369,0.004552647,0.000403614,0.001780818,0.0001857222,0.0005643635,0.002377988,0.01318663,0.9735508,0.000101023],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005267111,0.9885319,0.001463176,0.006665981,0.001089281,0.00005632699,0.00008038645,0.00004248128,0.001543624],"genre_scores_gemma":[0.004170364,0.9842069,0.00333155,0.004435131,0.001396057,0.00009677622,0.0001525155,0.00002231858,0.002188367],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005661833,"threshold_uncertainty_score":0.02994299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437856552238049,"score_gpt":0.4285920730104418,"score_spread":0.2848064177866368,"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."}}