{"id":"W4327654335","doi":"10.1039/d2md00441k","title":"Target 2035 – an update on private sector contributions","year":2023,"lang":"en","type":"editorial","venue":"RSC Medicinal Chemistry","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Structural Genomics Consortium; University of Toronto","funders":"Eshelman Institute for Innovation, University of North Carolina at Chapel Hill; Pharmaceuticals Bayer; Horizon 2020 Framework Programme; Genentech; Innovative Medicines Initiative; Ontario Institute for Cancer Research; European Commission; EMD Serono; Kungliga Tekniska Högskolan; Canada Foundation for Innovation; Ontario Genomics Institute; Takeda Pharmaceutical Company; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Janssen Research and Development; Ontario Genomics; Genome Canada; Diamond Light Source; Boehringer Ingelheim; McGill University; Pfizer","keywords":"Private sector; Public sector; Political science; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0120845,0.002013686,0.00221693,0.004288756,0.001775933,0.007058737,0.00296826,0.01015382,0.01188289],"category_scores_gemma":[0.03219987,0.0008369854,0.001744434,0.00301926,0.002073488,0.005836133,0.00182055,0.01909584,0.01112037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003115567,"about_ca_system_score_gemma":0.006046585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001495657,"about_ca_topic_score_gemma":0.003896546,"domain_scores_codex":[0.9938481,0.0007670588,0.0008981224,0.0005359636,0.003564353,0.0003863782],"domain_scores_gemma":[0.9684877,0.01268401,0.001902146,0.0006046658,0.0127143,0.003607076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003163081,0.00001375357,0.00001807933,0.0003579053,0.00001329742,0.00006707869,0.00001126251,0.00003968104,0.0000613329,0.000949324,0.9796476,0.01878901],"study_design_scores_gemma":[0.00001824974,0.00001407454,0.00006185253,0.0004051611,0.00001568097,0.0001201916,0.000009319235,0.00004340475,0.00004332861,0.0007399906,0.9985213,0.000007486994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007282887,0.0592489,0.0004449826,0.07540157,0.8581463,0.000036169,0.0001699142,0.0001651919,0.006314151],"genre_scores_gemma":[0.0008348734,0.05955457,0.0006239265,0.08259208,0.8413432,0.00005451424,0.0001880272,0.0001384074,0.01467038],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0120845,"threshold_uncertainty_score":0.06390971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466746171797393,"score_gpt":0.3220159014091742,"score_spread":0.3073484396912003,"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."}}