{"id":"W4393419273","doi":"10.5281/zenodo.1308266","title":"Determining The Ic50 Values Of 30 Legacy Acvr1/Alk2 Inhibitors","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science","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":[0.001384501,0.001565897,0.002159506,0.001660467,0.0004200311,0.001407442,0.001932476,0.001529619,0.01908184],"category_scores_gemma":[0.003045449,0.0003404022,0.00180292,0.002189837,0.0003210779,0.0006281434,0.0007558239,0.001789134,0.02024699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258366,"about_ca_system_score_gemma":0.001550332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005789942,"about_ca_topic_score_gemma":0.01402131,"domain_scores_codex":[0.999158,0.0001594179,0.0000870041,0.0002790389,0.0002006427,0.0001159176],"domain_scores_gemma":[0.9991179,0.0003971929,0.0001336763,0.0001254786,0.0001603119,0.00006542933],"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":[0.003013957,0.0004017998,0.01688864,0.01301345,0.001278741,0.0002415557,0.00008885192,0.006871808,0.004693348,0.002255274,0.9080733,0.04317931],"study_design_scores_gemma":[0.002125307,0.000380724,0.01877975,0.0008700194,0.001036449,0.0003455196,0.00008602643,0.001753483,0.003856063,0.00191795,0.9687927,0.00005595514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00366535,0.002874492,0.0002114179,0.0002274653,0.00005728627,0.00004664791,0.9902592,0.000234318,0.002423887],"genre_scores_gemma":[0.006428862,0.001068848,0.0007472861,0.0002067942,0.00001908532,0.0002140485,0.9898055,0.00005773472,0.001451984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01908184,"threshold_uncertainty_score":0.06383508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04597968461698865,"score_gpt":0.302799851044522,"score_spread":0.2568201664275334,"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."}}