{"id":"W6931588272","doi":"10.5281/zenodo.6097253","title":"Cotesia hyphantriae Riley 1887","year":2015,"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":"Hyphantria; Lepidoptera genitalia; Natural enemies; 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":[0.0001033649,0.0008151818,0.0002619062,0.001230029,0.0009755433,0.000417635,0.0003746477,0.000385482,0.01140377],"category_scores_gemma":[0.0003707273,0.0002869378,0.0001482306,0.0008782131,0.0002809504,0.0005619084,0.0004785337,0.0004156974,0.00275706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005472933,"about_ca_system_score_gemma":0.0003451446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01957903,"about_ca_topic_score_gemma":0.02752602,"domain_scores_codex":[0.9998629,0.000009565661,0.00001155707,0.0000431857,0.0000475667,0.00002515963],"domain_scores_gemma":[0.9998449,0.00001892726,0.00006396565,0.00001146137,0.00004414634,0.00001651873],"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":[0.0005143288,0.0001552357,0.112535,0.001596752,0.0001710767,0.006294355,0.002347427,0.0008247158,0.08995994,0.001894221,0.02874464,0.7549622],"study_design_scores_gemma":[0.00007841089,0.0002551131,0.6769481,0.000451748,0.0001355155,0.008448372,0.001356713,0.0006547599,0.005651893,0.0003117419,0.3056704,0.00003723546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6515915,0.03680525,0.002846849,0.0004883784,0.0007632277,0.0006494437,0.004538353,0.0004520507,0.3018649],"genre_scores_gemma":[0.9708781,0.005741837,0.002021929,0.0002041852,0.0001154487,0.00009914534,0.00188766,0.00003292122,0.01901875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01957903,"threshold_uncertainty_score":0.03893012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07316915198532879,"score_gpt":0.2263512769511556,"score_spread":0.1531821249658268,"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."}}