{"id":"W2396056682","doi":"10.1371/journal.pcbi.1004941","title":"Reactome from a WikiPathways Perspective","year":2016,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Human Genome Research Institute; National Institutes of Health; National Institute of General Medical Sciences; European Molecular Biology Laboratory; Genome Canada; Foundation for the National Institutes of Health","keywords":"Perspective (graphical); Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.005216078,0.002265723,0.001500654,0.007910985,0.001057299,0.008355853,0.004351169,0.00179516,0.02265455],"category_scores_gemma":[0.01389905,0.001291809,0.002700833,0.00726296,0.001129688,0.008463952,0.005570548,0.005299974,0.01832723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156936,"about_ca_system_score_gemma":0.002759587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734284,"about_ca_topic_score_gemma":0.002305464,"domain_scores_codex":[0.9960951,0.001165185,0.0004647119,0.001010923,0.001063722,0.0002002664],"domain_scores_gemma":[0.9912946,0.003673767,0.000667705,0.002497742,0.001166727,0.0006995888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006882053,0.0001186816,0.00269411,0.006378576,0.0008498731,0.001409794,0.001254407,0.01116985,0.02196392,0.3676706,0.4492544,0.1365476],"study_design_scores_gemma":[0.00002418271,0.00001850108,0.0006709906,0.0002429613,0.00009043717,0.0003962501,0.000158479,0.005450167,0.01079508,0.06969424,0.9124025,0.00005622262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003882658,0.005483687,0.7130121,0.0106676,0.002832972,0.000252309,0.110585,0.1086069,0.04467683],"genre_scores_gemma":[0.04747537,0.01335836,0.6292793,0.006446471,0.001864334,0.002096631,0.2435305,0.02857151,0.02737752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02265455,"threshold_uncertainty_score":0.07578707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316379867789864,"score_gpt":0.2389481193497895,"score_spread":0.2257843206718909,"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."}}