{"id":"W6912635876","doi":"10.5281/zenodo.6097774","title":"Cryptonevra diadema Meigen","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":"Nearctic ecozone; Sloth; Scutellum; Key (lock); Hymenoptera; DNA barcoding","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":[0.0001660171,0.0006910184,0.0002496035,0.001525825,0.001351009,0.0004620566,0.0006774908,0.0004965485,0.01049388],"category_scores_gemma":[0.0004695269,0.0001985114,0.0001275915,0.0006217957,0.0005534638,0.0006763239,0.0009827712,0.0005176197,0.00265297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007378247,"about_ca_system_score_gemma":0.0003168707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00833324,"about_ca_topic_score_gemma":0.02365411,"domain_scores_codex":[0.9997452,0.00002627147,0.000014657,0.0001188478,0.00006421928,0.00003079459],"domain_scores_gemma":[0.9998524,0.00002271124,0.00005143722,0.00001858778,0.00002977352,0.00002497488],"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":[0.001831152,0.0003496739,0.1815031,0.001884494,0.0001649407,0.01014783,0.009346171,0.001208923,0.1033145,0.02069228,0.04811907,0.6214379],"study_design_scores_gemma":[0.0001340444,0.0005212281,0.5169755,0.000576926,0.0001213975,0.02071283,0.002959818,0.0007919776,0.004415305,0.002461086,0.4502687,0.00006130955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7363306,0.009005385,0.004651775,0.001138513,0.0006387662,0.0007393954,0.004365102,0.0006472399,0.2424832],"genre_scores_gemma":[0.9748511,0.001231779,0.00329271,0.0003565775,0.00006045094,0.00008099111,0.001234247,0.00002088591,0.01887127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01049388,"threshold_uncertainty_score":0.03510553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08009153840621433,"score_gpt":0.2300038101376667,"score_spread":0.1499122717314524,"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."}}