{"id":"W4249186297","doi":"10.2174/157016461501180122113625","title":"Preface","year":2018,"lang":"en","type":"article","venue":"Current Proteomics","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","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":[0.0002274949,0.0001446782,0.000116105,0.00006738198,0.000113174,0.00005245865,0.0002925683,0.00004526978,0.0002532439],"category_scores_gemma":[0.000122696,0.0001363418,0.00004869848,0.000236202,0.0001984994,0.0001851994,0.0001255555,0.0001787659,0.02910498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169086,"about_ca_system_score_gemma":0.00008533511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000028237,"about_ca_topic_score_gemma":0.000004862992,"domain_scores_codex":[0.9989594,0.00004163944,0.0001780482,0.0002861294,0.0001999386,0.0003348112],"domain_scores_gemma":[0.9992013,0.000009244481,0.00009533401,0.0004334549,0.0001511003,0.0001095439],"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":[0.0005581598,0.001286668,0.03014913,0.0002776442,0.000103599,0.000004341376,0.00341295,0.00002446046,0.4907266,0.03134123,0.2535348,0.1885804],"study_design_scores_gemma":[0.0008915379,0.0001717048,0.003873364,0.00009443929,0.00002576786,0.0000088609,0.00002097135,0.00184796,0.249896,0.003608097,0.7390935,0.0004677018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815218,0.0004598326,0.006951176,0.00009185794,0.001632716,0.001159259,0.00006284381,0.00048776,0.007632762],"genre_scores_gemma":[0.9869646,0.00001827045,0.01064205,0.00003429339,0.001511902,0.0001473005,0.00002511914,0.0001078017,0.0005485906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4855587,"threshold_uncertainty_score":0.971651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04723094310166837,"score_gpt":0.341084027307928,"score_spread":0.2938530842062597,"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."}}