{"id":"W6912391841","doi":"10.5281/zenodo.4328430","title":"Macrocamptoptera metotarsa Giraulti 1905","year":2020,"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":"Holarctic; Nearctic ecozone; Holotype; Type (biology); Genus","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":[0.0001080579,0.0006000518,0.0002774675,0.0009181909,0.0006372308,0.0002631768,0.0004449982,0.0003002343,0.01421349],"category_scores_gemma":[0.0002085281,0.0002151887,0.0001187481,0.0004936734,0.000297559,0.0005363155,0.0005966341,0.0003191096,0.003926345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004779484,"about_ca_system_score_gemma":0.0001266222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006244528,"about_ca_topic_score_gemma":0.01156901,"domain_scores_codex":[0.9998972,0.00001506081,0.000008098289,0.00002691515,0.00003593486,0.0000168083],"domain_scores_gemma":[0.9999352,0.00001048602,0.00002184655,0.000005680814,0.0000146736,0.00001223301],"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":[0.00055485,0.0001557575,0.09899648,0.001524769,0.00008883222,0.004280095,0.002162112,0.001061875,0.02919259,0.006100955,0.09051166,0.76537],"study_design_scores_gemma":[0.00007579794,0.0006202611,0.5043452,0.0008732709,0.00008032441,0.01188472,0.001259422,0.0005863465,0.003511337,0.001105422,0.4756157,0.00004209928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4275583,0.0395513,0.005299849,0.0006622808,0.0009118789,0.0009770502,0.006366488,0.000713425,0.5179595],"genre_scores_gemma":[0.9636635,0.007388434,0.003385268,0.0003787712,0.0001725534,0.0001617135,0.002250868,0.00001946448,0.02257937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01421349,"threshold_uncertainty_score":0.04754889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05455060093557532,"score_gpt":0.2109933632533188,"score_spread":0.1564427623177435,"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."}}