{"id":"W6931760787","doi":"10.5281/zenodo.5997605","title":"Agromyza pseudoreptans Nowakowski","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant and fungal interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urtica dioica; Vein; Frass; Thickening; Margin (machine learning)","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":[0.0001060389,0.0003865171,0.0002949965,0.000853516,0.0005190955,0.0001686015,0.0002905958,0.0002423486,0.003060027],"category_scores_gemma":[0.0001120802,0.0001842734,0.0001694187,0.0005052778,0.0001963181,0.0005530313,0.0003913057,0.0005553695,0.00147213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004303811,"about_ca_system_score_gemma":0.0002121298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003592763,"about_ca_topic_score_gemma":0.006304371,"domain_scores_codex":[0.9999107,0.000005385249,0.00001133991,0.00003701507,0.00002468183,0.0000109057],"domain_scores_gemma":[0.9998965,0.00001205192,0.00003973169,0.00001964377,0.00001592372,0.00001606768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004665736,0.00008596326,0.007718539,0.0005388113,0.00005328664,0.002297926,0.0004875539,0.0003378512,0.9156775,0.002364357,0.002553776,0.06741786],"study_design_scores_gemma":[0.0002710048,0.0008975373,0.6238385,0.0003082182,0.000247046,0.01282746,0.001180479,0.0008626652,0.04685998,0.001451697,0.3111586,0.00009678282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918593,0.008690103,0.004777082,0.0004810806,0.000257513,0.0002626669,0.006096193,0.0005550382,0.06028728],"genre_scores_gemma":[0.9453635,0.004313367,0.007064967,0.0006034125,0.00006793098,0.0002351635,0.01135757,0.00007596678,0.03091823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003592763,"threshold_uncertainty_score":0.01023674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04408556361909199,"score_gpt":0.2327393959959436,"score_spread":0.1886538323768516,"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."}}