{"id":"W2127189084","doi":"10.1145/2491185.2491215","title":"FleXam","year":2013,"lang":"en","type":"article","venue":"","topic":"Pharmacological Receptor Mechanisms and Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000353964,0.00004855041,0.00003630349,0.00000584929,0.00002107755,0.00001083228,0.00006618915,0.00004918556,0.002709302],"category_scores_gemma":[0.00002069486,0.00003438804,0.00002917113,0.00001985701,0.00001136064,0.00000104069,0.00004521641,0.0000236011,0.0006492838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001915193,"about_ca_system_score_gemma":0.000005638256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001065974,"about_ca_topic_score_gemma":7.564387e-7,"domain_scores_codex":[0.9996803,0.00001342194,0.00004164357,0.000111663,0.00003571996,0.0001172513],"domain_scores_gemma":[0.9998266,0.000003657179,0.000008219822,0.00007649767,0.00002009084,0.00006489765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002645356,0.00001395561,0.00005773088,0.000001010689,0.000005054479,2.013706e-7,8.00756e-7,0.00000183698,0.951005,0.000306116,0.04058361,0.008021994],"study_design_scores_gemma":[0.0001440195,0.000161345,0.001112376,5.577024e-7,0.000001715828,0.000001881075,0.000006091799,0.00006581742,0.9177278,0.0004659849,0.08024052,0.00007187106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959564,0.00006271432,0.002335117,0.0001506046,0.0001274707,0.0001255697,4.157045e-7,0.00001811043,0.03761594],"genre_scores_gemma":[0.9922844,0.00002446481,0.001055072,0.001633583,0.000114496,0.00003608392,0.000008175701,0.000004727898,0.004839066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03965691,"threshold_uncertainty_score":0.9982024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006800317836501118,"score_gpt":0.2398580236248543,"score_spread":0.2330577057883532,"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."}}