{"id":"W6958538041","doi":"10.6084/m9.figshare.12420932","title":"Tucatinib: First Approval","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug approval; Breast cancer; Drug industry; Peer review; Human use; Ethical issues","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009192751,0.0007210349,0.001908294,0.001441334,0.001870477,0.005540608,0.002620005,0.006352205,0.4002017],"category_scores_gemma":[0.04289774,0.0006374706,0.001191786,0.001301451,0.0009330586,0.002693317,0.001982447,0.003406646,0.2282434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002337275,"about_ca_system_score_gemma":0.01209759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141379,"about_ca_topic_score_gemma":0.002567536,"domain_scores_codex":[0.9889347,0.003498642,0.001333474,0.001193684,0.00368121,0.001358255],"domain_scores_gemma":[0.9719388,0.003489352,0.001815503,0.004744591,0.01487075,0.003141068],"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":[0.0004273081,0.00004842873,0.0001772357,0.0006742934,0.00002633712,0.0002087721,0.00007294376,0.00005132925,0.0006109807,0.0045113,0.9382526,0.05493851],"study_design_scores_gemma":[0.0003206682,0.00006249903,0.0004542697,0.0006870352,0.00001758326,0.0004876636,0.00004444602,0.0001118226,0.0004644399,0.001064159,0.9962757,0.000009765656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004679764,0.01434339,0.01692979,0.07079121,0.04264161,0.02123377,0.08774424,0.00836161,0.7332747],"genre_scores_gemma":[0.06641361,0.01603802,0.02325764,0.06223091,0.02010365,0.03570797,0.1226428,0.004419905,0.6491855],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4002017,"threshold_uncertainty_score":0.8555395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3020782037667714,"score_gpt":0.3895391972480569,"score_spread":0.08746099348128544,"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."}}