{"id":"W6911867766","doi":"10.5281/zenodo.13153158","title":"Aceria artemisiae","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hymenoptera taxonomy and phylogeny","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artemisia; Host (biology); Natural enemies; Acari; Distribution (mathematics)","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":[0.000109498,0.0007170734,0.0003542482,0.001481998,0.0009324565,0.0004514337,0.0002991502,0.0003109189,0.01304064],"category_scores_gemma":[0.0002699382,0.00010652,0.0002083856,0.000837305,0.000223528,0.0005917461,0.000490597,0.000392004,0.006556353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005013726,"about_ca_system_score_gemma":0.0001987246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005378684,"about_ca_topic_score_gemma":0.01009189,"domain_scores_codex":[0.9998104,0.00001849773,0.00001728525,0.00006445675,0.00006238563,0.00002702335],"domain_scores_gemma":[0.9998374,0.00002357714,0.0000537642,0.00001993494,0.00004432851,0.00002098637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006841483,0.0002654718,0.04244078,0.001425947,0.00008455647,0.003260422,0.00143765,0.001038945,0.06573753,0.003888535,0.04213596,0.8376001],"study_design_scores_gemma":[0.00003769584,0.0002974328,0.2408201,0.0003039374,0.00007523491,0.007563102,0.0004753533,0.0006454978,0.007870463,0.001112531,0.74077,0.00002872546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.270673,0.0360647,0.007116911,0.001187307,0.001060979,0.0004149529,0.0159638,0.001606881,0.6659115],"genre_scores_gemma":[0.8797398,0.008835548,0.005254177,0.000656764,0.000442982,0.0001177564,0.01222389,0.00007538767,0.0926537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01304064,"threshold_uncertainty_score":0.04362524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05266148601987537,"score_gpt":0.2250574985532246,"score_spread":0.1723960125333492,"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."}}