{"id":"W6941878322","doi":"10.1371/journal.pone.0181543.t003","title":"Mean sAUC for five attention models and our proposed model in Toronto database.","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Work (physics); Feature (linguistics); Term (time)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257332,0.004135839,0.001631588,0.002655889,0.0009180838,0.001866639,0.003997033,0.00327241,0.01578444],"category_scores_gemma":[0.006863215,0.0006447831,0.002641179,0.003433555,0.0006299399,0.00152205,0.001263268,0.002130217,0.01860376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003537091,"about_ca_system_score_gemma":0.003290142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1313493,"about_ca_topic_score_gemma":0.2700935,"domain_scores_codex":[0.9988619,0.0002261099,0.00008943173,0.0004537789,0.0002176191,0.000151174],"domain_scores_gemma":[0.9985109,0.0005159876,0.00007366785,0.0004001042,0.000379724,0.0001195991],"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":[0.0003914465,0.0001415124,0.004101914,0.001101763,0.0003022327,0.00008722324,0.00003283742,0.009165657,0.0003516062,0.0005428361,0.9658815,0.01789958],"study_design_scores_gemma":[0.001972374,0.0005073205,0.03632011,0.001399531,0.0009619314,0.0008959498,0.0005424595,0.1349127,0.005566866,0.007851003,0.8087509,0.0003188774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009940505,0.002696048,0.001334766,0.0005380835,0.0002627817,0.00007472455,0.9790076,0.00396193,0.002183548],"genre_scores_gemma":[0.006726786,0.000259349,0.001702471,0.00008675603,0.00002119572,0.00008315618,0.9899436,0.0001110377,0.001065753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1313493,"threshold_uncertainty_score":0.2611694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.069937552041346,"score_gpt":0.3029118405493857,"score_spread":0.2329742885080398,"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."}}