{"id":"W4200215031","doi":"10.5281/zenodo.5787003","title":"GDSC2","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Chemical Reactions and Isotopes","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002608531,0.001803798,0.001872227,0.003425229,0.002269449,0.006758906,0.005726586,0.002827618,0.3992922],"category_scores_gemma":[0.009547434,0.001459368,0.001843487,0.005125623,0.0007961565,0.003788667,0.005602072,0.003124305,0.5083776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002355017,"about_ca_system_score_gemma":0.004666624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009711251,"about_ca_topic_score_gemma":0.01117053,"domain_scores_codex":[0.9969012,0.0004068385,0.0002351166,0.0007474925,0.001317616,0.0003918749],"domain_scores_gemma":[0.9964994,0.0005036449,0.0001662792,0.001195479,0.00114913,0.0004860597],"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":[0.0001979021,0.00002450676,0.0003295252,0.0003708271,0.00002847164,0.0000610414,0.00006477541,0.0001737651,0.001475082,0.003704641,0.974093,0.01947651],"study_design_scores_gemma":[0.00004736444,0.00001617068,0.0002924481,0.00006801896,0.00001762079,0.0001100641,0.00002510603,0.0001989128,0.001131657,0.001962847,0.9961099,0.0000199579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002579905,0.002830254,0.02015787,0.004378437,0.001989897,0.0004769787,0.5950065,0.1079397,0.2646404],"genre_scores_gemma":[0.006924207,0.001393319,0.01187793,0.003188425,0.0002316733,0.0006581802,0.8216367,0.03741379,0.1166757],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6007078,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1477881076956312,"score_gpt":0.394964372810197,"score_spread":0.2471762651145659,"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."}}