{"id":"W3017312657","doi":"10.29011/amco-120.000120","title":"Delivering Innovation to Oncology Drug Development through Cancer Drug DISCO (Development Incentive Strategy using Comparative Oncology): Perspectives, Gaps and Solutions","year":2020,"lang":"en","type":"article","venue":"Annals of Medical and Clinical Oncology","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug development; Drug; Cancer drugs; Incentive; Oncology; Clinical Oncology; Anticancer drug; Medicine; Precision oncology; Cancer; Internal medicine; Pharmacology; Economics","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":[0.0420076,0.0007040802,0.0008891667,0.001919606,0.002603232,0.01726158,0.00304494,0.008549636,0.0125425],"category_scores_gemma":[0.03235665,0.0003814393,0.0009551597,0.00222081,0.01072684,0.01394391,0.01163092,0.01186458,0.001413142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.013981,"about_ca_system_score_gemma":0.02760055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002298318,"about_ca_topic_score_gemma":0.002515432,"domain_scores_codex":[0.9762421,0.01307394,0.0007682085,0.001912343,0.005264818,0.002738682],"domain_scores_gemma":[0.9554514,0.02546276,0.003365927,0.001957231,0.006393678,0.007368946],"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":[0.00008636806,0.000205283,0.001296226,0.001001267,0.00003171539,0.0001609768,0.0006816185,0.001291109,0.0004580899,0.8290901,0.04630269,0.1193945],"study_design_scores_gemma":[0.0001590508,0.0004706275,0.00177035,0.002726496,0.00003889531,0.0003723391,0.003162283,0.00521981,0.001789666,0.3899294,0.5942378,0.0001233472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.008263008,0.04039802,0.03458266,0.8355967,0.003390665,0.0002329109,0.0001451765,0.0001888513,0.07720201],"genre_scores_gemma":[0.6191742,0.06856285,0.07578244,0.2022349,0.007503065,0.001235055,0.0003595388,0.0001964324,0.02495149],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0420076,"threshold_uncertainty_score":0.22216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3679291525648538,"score_gpt":0.5423640826736486,"score_spread":0.1744349301087947,"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."}}