{"id":"W2793372631","doi":"10.2903/j.efsa.2018.5184","title":"Pest categorisation of Anisogramma anomala","year":2018,"lang":"fr","type":"article","venue":"EFSA Journal","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Art history; Art; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000294284,0.0001086606,0.0001531957,0.00002348435,0.0003824333,0.0001336221,0.0001683338,0.0001112175,0.01275776],"category_scores_gemma":[0.00003895546,0.000047967,0.0001405297,0.0001855556,0.0001547293,0.0002431462,0.00001950576,0.0002271824,0.0002854201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004078163,"about_ca_system_score_gemma":0.00003250355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010779,"about_ca_topic_score_gemma":0.0006859865,"domain_scores_codex":[0.9989979,0.0001208226,0.0003226823,0.0001173095,0.0001736266,0.0002676385],"domain_scores_gemma":[0.9991784,0.00008979128,0.000270598,0.00003776951,0.0003143179,0.0001091002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000209861,0.0004427062,0.02266757,0.00001399033,0.0001071902,0.00004644791,0.0007363839,0.000004841265,0.2296723,0.01182384,0.03232712,0.7019477],"study_design_scores_gemma":[0.0004798223,0.003182408,0.1790628,0.0001439031,0.00008539604,0.002348298,0.001410441,0.0007285694,0.007965695,0.004112164,0.8001921,0.0002884374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773536,0.001714079,0.0001387977,0.007064576,0.004350095,0.00007459532,0.00003483271,0.000009435025,0.009260031],"genre_scores_gemma":[0.9838319,0.0002680573,0.0001193049,0.0001668035,0.005723111,0.000001272276,0.000007395125,0.000001091298,0.009881056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.767865,"threshold_uncertainty_score":0.9881447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448619508714381,"score_gpt":0.2304306608274012,"score_spread":0.2159444657402574,"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."}}