{"id":"W7098619260","doi":"","title":"and Centre de Recherche en Cancérologie de l’Université Laval,","year":2016,"lang":"en","type":"article","venue":"","topic":"Plant-based Medicinal Research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Random number generation; Monte Carlo method; Graphics processing unit; Massively parallel; Graphics; Throughput; Graphics hardware; Multi-core processor","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002887863,0.0001001062,0.0001182507,0.00006680677,0.00008563591,0.000004765525,0.0001979499,0.0005103668,0.004507515],"category_scores_gemma":[0.001285652,0.00006672585,0.00002534929,0.00008118498,0.0001408858,0.00004815859,0.00008905418,0.0007948425,0.0001655336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000638789,"about_ca_system_score_gemma":0.0005534485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003247129,"about_ca_topic_score_gemma":0.000451353,"domain_scores_codex":[0.9975178,0.001550823,0.00008588575,0.0001823729,0.00009650351,0.0005666112],"domain_scores_gemma":[0.9953173,0.00411038,0.00002253965,0.0000993483,0.00004171838,0.0004086527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007897735,0.00009026126,0.1454499,0.00003276656,0.0001031907,0.0004892743,0.0007821,0.000003545648,0.4735416,0.001134565,0.2077146,0.1698684],"study_design_scores_gemma":[0.003519847,0.0002316495,0.02478478,0.00003702702,0.0001135115,0.0001582205,0.0006841261,0.0003912766,0.4765269,0.002254849,0.4910631,0.0002346892],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232934,0.000573844,0.0005182754,0.04480859,0.000117793,0.0001703754,0.00004351711,0.0001015333,0.03037265],"genre_scores_gemma":[0.9345837,0.01361415,0.001451974,0.005840758,0.0001704221,0.00000731268,0.000004030734,0.00001609538,0.04431153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2833485,"threshold_uncertainty_score":0.9964025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.410299037297999,"score_gpt":0.5261266297292181,"score_spread":0.1158275924312191,"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."}}