{"id":"W6910059641","doi":"10.3897/zookeys.784.27296.figures19-25","title":"Figures 19-25 from: van Nieukerken EJ, Gilrein DO, Eiseman CS (2018) Stigmella multispicata Rociene. & Stonis, an Asian leafminer on Siberian elm, now widespread in eastern North America (Lepidoptera, Nepticulidae). ZooKeys 784: 95-125. https://doi.org/10.3897/zookeys.784.27296","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; Southeast asia; Larva; Scale (ratio); Quarter (Canadian coin)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001344867,0.000685317,0.0002919384,0.001184575,0.0007698217,0.0006847685,0.0005722771,0.0004599964,0.7722145],"category_scores_gemma":[0.0006428111,0.000196697,0.0002302447,0.001168358,0.0003858496,0.001187981,0.0008493278,0.0007432972,0.5121848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007030646,"about_ca_system_score_gemma":0.0005918288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006039831,"about_ca_topic_score_gemma":0.02048498,"domain_scores_codex":[0.9998811,0.0000106591,0.000009870315,0.00002289854,0.00005738083,0.00001803463],"domain_scores_gemma":[0.9998435,0.0000297571,0.00002023499,0.00001899414,0.00004881847,0.00003862621],"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":[0.00002563362,0.0000113201,0.0003613883,0.0001646778,0.000002726488,0.0001420836,0.0001519538,0.00004075344,0.0003472746,0.001808975,0.9605172,0.03642595],"study_design_scores_gemma":[0.000001696256,0.000003063478,0.001067965,0.00003592719,0.000001083134,0.000117882,0.00003837523,0.00001040614,0.00006868655,0.0001716513,0.9984823,0.000001184006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001192655,0.001389305,0.0006238328,0.0004643815,0.001241857,0.0001049961,0.02867412,0.0006981458,0.9656107],"genre_scores_gemma":[0.01271661,0.002407615,0.00263599,0.0002540797,0.0002714171,0.0001067656,0.03058322,0.0006119314,0.9504124],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7722145,"threshold_uncertainty_score":0.3249084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306160761581046,"score_gpt":0.2672087798888617,"score_spread":0.2341471722730512,"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."}}