{"id":"W2168284908","doi":"10.14778/2757807.2757808","title":"ALID","year":2015,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; National Science Foundation","keywords":"Speedup; Scalability; Computer science; Parameterized complexity; Time complexity; Graph; Theoretical computer science; Algorithm; Parallel computing","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":[0.001540343,0.001777421,0.001290612,0.002492078,0.001303931,0.004255086,0.004696301,0.002099143,0.1375349],"category_scores_gemma":[0.005522452,0.001082817,0.001741119,0.00206526,0.0006349431,0.004167598,0.004768176,0.00232873,0.1148828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137921,"about_ca_system_score_gemma":0.002232915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004515769,"about_ca_topic_score_gemma":0.005472243,"domain_scores_codex":[0.9977784,0.0002365842,0.0001423052,0.0006297792,0.0009178381,0.0002951741],"domain_scores_gemma":[0.9977242,0.0003682309,0.000132256,0.0008815131,0.0006855116,0.0002081727],"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":[0.0004969533,0.0001721037,0.002334772,0.0005989455,0.0001279236,0.0003193511,0.0002106228,0.006095757,0.006568289,0.02653577,0.674663,0.2818765],"study_design_scores_gemma":[0.0001692601,0.00008771782,0.001358379,0.00009421407,0.00004907107,0.0005119593,0.0001482057,0.06458357,0.009873903,0.03134424,0.8916914,0.00008804013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006679036,0.001594508,0.4642132,0.002248158,0.002120033,0.0009590458,0.03392717,0.3157962,0.1724626],"genre_scores_gemma":[0.09629298,0.001929052,0.5020933,0.003786924,0.000763428,0.001742282,0.1483361,0.04513279,0.1999232],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8624651,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109697228512849,"score_gpt":0.225587535311706,"score_spread":0.2044905630265775,"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."}}