{"id":"W6931489205","doi":"10.5281/zenodo.5997907","title":"Phytomyza linnaeae Griffiths","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frass; Leaflet (botany); Channel (broadcasting); Epidermis (zoology); Taxonomy (biology)","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":[0.0001502284,0.0005248011,0.0002944946,0.001116739,0.0007292628,0.0002280424,0.0002901869,0.0003483616,0.006558164],"category_scores_gemma":[0.0001693591,0.0001761617,0.0001735102,0.0004885661,0.0002707377,0.0004537068,0.0005386139,0.0004543915,0.00229011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007913249,"about_ca_system_score_gemma":0.0001737542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007965792,"about_ca_topic_score_gemma":0.01193389,"domain_scores_codex":[0.9998988,0.000009749729,0.000005972686,0.00004371463,0.00002654612,0.00001513409],"domain_scores_gemma":[0.9999261,0.00001358588,0.00001928355,0.000009044659,0.00001238919,0.00001956206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006399936,0.0001444575,0.02049292,0.001261717,0.00007699955,0.001585831,0.001878604,0.0007388845,0.679465,0.004978337,0.01832049,0.2704168],"study_design_scores_gemma":[0.0001773239,0.0009212999,0.5043529,0.0003109719,0.00009390337,0.005093353,0.0006628426,0.0007210465,0.01484708,0.002239493,0.4704922,0.00008755537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7783915,0.01598352,0.005831128,0.001599069,0.0003733042,0.0004297062,0.009347576,0.002700227,0.1853439],"genre_scores_gemma":[0.9502282,0.002242304,0.004807509,0.001030704,0.000061734,0.00009847149,0.002658367,0.00005613407,0.03881647],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007965792,"threshold_uncertainty_score":0.02193922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429121466713181,"score_gpt":0.237887160056852,"score_spread":0.2135959453897202,"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."}}