{"id":"W7004783577","doi":"","title":"Ottawa's AuditMap unlocking hidden insights with machine learning","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Audit; Software; Applications of artificial intelligence; Work (physics)","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":[0.006230896,0.0006567257,0.0004028852,0.003431516,0.004579478,0.009689218,0.001051932,0.002359817,0.05127235],"category_scores_gemma":[0.02966864,0.0009411676,0.0003239197,0.003363066,0.003528184,0.005423733,0.002736995,0.003588591,0.01318348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01104832,"about_ca_system_score_gemma":0.02171261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6019061,"about_ca_topic_score_gemma":0.8516231,"domain_scores_codex":[0.9958124,0.0006598223,0.0001786993,0.0002773779,0.002568517,0.0005032259],"domain_scores_gemma":[0.9743466,0.00853736,0.000850584,0.003458286,0.009724991,0.003082208],"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":[0.00007678299,0.00001751068,0.001485972,0.00004314412,0.000006240684,0.0000646294,0.0003171751,0.000454131,0.0002953516,0.008428003,0.8942869,0.0945242],"study_design_scores_gemma":[0.00002821113,0.00001960852,0.002668601,0.000116298,0.000008461474,0.00006160489,0.0005322734,0.003457347,0.0009790291,0.008088998,0.9839801,0.00005955943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01799306,0.008406472,0.04263018,0.3059481,0.005584077,0.0005785205,0.01981416,0.02249914,0.5765463],"genre_scores_gemma":[0.1278694,0.006990952,0.04962379,0.01324239,0.0009560462,0.0002145497,0.007831004,0.003499404,0.7897725],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3980939,"threshold_uncertainty_score":0.8008768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113521715893451,"score_gpt":0.2076909430308687,"score_spread":0.1965557258719342,"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."}}