{"id":"W2786476437","doi":"","title":"PubMedReco: A Real-Time Recommender System for PubMed Citations.","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Recommender system; World Wide Web; Interface (matter); Information retrieval; Window (computing); Conversation; User interface; Multimedia","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006935656,0.001628398,0.001451774,0.009909117,0.001186175,0.002675029,0.002456525,0.002511256,0.01312933],"category_scores_gemma":[0.02960595,0.0009963438,0.001091849,0.005756689,0.0002235327,0.0037226,0.002025817,0.001342666,0.01169289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008873098,"about_ca_system_score_gemma":0.002312793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007942148,"about_ca_topic_score_gemma":0.02542207,"domain_scores_codex":[0.9968321,0.0009390801,0.0005345027,0.0005294376,0.001047107,0.0001177737],"domain_scores_gemma":[0.9781691,0.01214965,0.001654411,0.002388972,0.004194461,0.001443372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001646698,0.0005716941,0.0118317,0.004627539,0.0008809714,0.0009749897,0.000922798,0.004067583,0.02087148,0.003878539,0.5290209,0.4207051],"study_design_scores_gemma":[0.001098325,0.0008308527,0.01591642,0.0008283198,0.0008867708,0.001785766,0.0007378886,0.1828793,0.02268912,0.01201117,0.7596315,0.0007045069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.04782893,0.01525576,0.3869265,0.008644611,0.003115137,0.003649438,0.1147645,0.3947084,0.02510679],"genre_scores_gemma":[0.1055871,0.004325823,0.7468411,0.002711647,0.001038103,0.00177269,0.1102782,0.006406995,0.02103824],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9973249,"threshold_uncertainty_score":0.04392195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04300958793450745,"score_gpt":0.2695530656552363,"score_spread":0.2265434777207288,"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."}}