{"id":"W2142139579","doi":"10.1126/scitranslmed.aaa2360","title":"Financing translation: Analysis of the NCATS rare-diseases portfolio","year":2015,"lang":"en","type":"review","venue":"Science Translational Medicine","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada); Alpha Technologies (Canada)","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Portfolio; Medicine; Translation (biology); Business; Finance; Genetics; Biology","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":[0.005322381,0.0004599144,0.0006160875,0.00113985,0.0001516705,0.001096362,0.0007040197,0.0007416197,0.005152308],"category_scores_gemma":[0.01527639,0.000183759,0.0007471901,0.002209963,0.0002861837,0.001262228,0.0004408609,0.0006023053,0.0004148932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002720719,"about_ca_system_score_gemma":0.003703424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004242935,"about_ca_topic_score_gemma":0.003203007,"domain_scores_codex":[0.9981634,0.001181862,0.00007933628,0.00007287273,0.0004158462,0.00008662042],"domain_scores_gemma":[0.9949083,0.003979691,0.0004881764,0.00009180132,0.0004864238,0.00004572582],"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":[0.000413484,0.0001496276,0.009904456,0.008535203,0.0007433915,0.0004204988,0.0001736436,0.1588893,0.0005583261,0.1722388,0.02004744,0.6279259],"study_design_scores_gemma":[0.0008679913,0.001244645,0.04101689,0.01463231,0.002777071,0.002331343,0.0007671182,0.2752067,0.004333509,0.2099136,0.4467741,0.0001348027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1548757,0.6354828,0.06459545,0.01948656,0.0005464305,0.001696333,0.003611885,0.0001622508,0.1195426],"genre_scores_gemma":[0.7208126,0.2489983,0.02021143,0.0009681173,0.0002975861,0.0008905557,0.001625392,0.00003238871,0.006163757],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005322381,"threshold_uncertainty_score":0.02814776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2232317094537266,"score_gpt":0.3972406493256112,"score_spread":0.1740089398718846,"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."}}