{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002104701,0.0009331986,0.0006773063,0.00322777,0.002032367,0.002623652,0.001376175,0.0008966493,0.3911554],"category_scores_gemma":[0.0183046,0.0002572798,0.000672863,0.001783149,0.0004936212,0.001970392,0.002162128,0.003137425,0.2925054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153226,"about_ca_system_score_gemma":0.002248708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003835862,"about_ca_topic_score_gemma":0.004178233,"domain_scores_codex":[0.9991509,0.0001446361,0.00006419689,0.0001463352,0.0004258469,0.00006808407],"domain_scores_gemma":[0.9903923,0.001725599,0.0003066098,0.000879587,0.005594654,0.001101138],"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":[0.00003781792,0.00001874656,0.00008516519,0.0001205295,0.000002423464,0.00004010939,0.00002745648,0.00003634563,0.0001690792,0.001826396,0.963744,0.03389194],"study_design_scores_gemma":[0.00000481709,0.00001139551,0.0002608435,0.0001152425,0.000002841498,0.00005754715,0.00003611502,0.00002933382,0.0001944223,0.002173055,0.997109,0.00000540233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001847187,0.01884788,0.02088921,0.05140647,0.4835056,0.001237482,0.03287797,0.003812477,0.3855756],"genre_scores_gemma":[0.007498607,0.01002208,0.009502266,0.01750538,0.07577965,0.000860084,0.02843666,0.002102183,0.8482931],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.6088446,"threshold_uncertainty_score":0,"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."}}