{"id":"W7106656429","doi":"10.48580/dgvbl-39m","title":"Aphid Species File","year":2025,"lang":"","type":"dataset","venue":"The Catalogue of Life","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Aphid; Population; PEST analysis; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001757173,0.001544142,0.002565411,0.0009288808,0.000620497,0.0001876185,0.007535828,0.0009445914,0.02801098],"category_scores_gemma":[0.008049632,0.001214684,0.0009793279,0.002421718,0.003909432,0.0002621443,0.00368317,0.002076351,0.02348861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122588,"about_ca_system_score_gemma":0.002949736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002047305,"about_ca_topic_score_gemma":0.001018667,"domain_scores_codex":[0.9923011,0.0009480981,0.002351237,0.001358212,0.001697322,0.001344033],"domain_scores_gemma":[0.9848527,0.003392129,0.002563967,0.008130766,0.0005943223,0.0004661143],"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":[0.000409301,0.0005275417,0.000007938344,0.001630266,0.001125836,0.00003469869,0.0002458464,0.00004611442,0.0001011932,0.0003412777,0.9954936,0.00003637423],"study_design_scores_gemma":[0.0008229821,0.0001751826,0.0004141323,0.001403002,0.001179019,0.00002261159,0.0005268817,0.00001341616,0.000435669,0.0001288534,0.9938853,0.0009929698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001509973,0.005077846,0.000003106248,0.0009292392,0.002116843,0.001387116,0.9883512,0.00008662621,0.001897034],"genre_scores_gemma":[0.0006108324,0.001631765,0.0000490572,0.0007560817,0.001556855,0.0001778997,0.9856251,0.0001344367,0.009457961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007560926,"threshold_uncertainty_score":0.9997307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236596780547012,"score_gpt":0.2473818886998007,"score_spread":0.2250159208943305,"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."}}