{"id":"W6893736085","doi":"10.5281/zenodo.4453176","title":"Paragrallomyia Hendel 1933","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Vector-Borne Animal Diseases","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Wing; Margin (machine learning); Basal (medicine); Process (computing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001317259,0.0001092603,0.000105906,0.00001314871,0.00112189,0.00044514,0.0007540482,0.0000408788,0.02785706],"category_scores_gemma":[0.0003725186,0.00005547324,0.00006687715,0.0004863755,0.00007309385,0.0001771711,0.0006052543,0.0001337171,0.01100552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002844417,"about_ca_system_score_gemma":9.003153e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002423196,"about_ca_topic_score_gemma":9.380783e-7,"domain_scores_codex":[0.9987977,0.0001632277,0.0001488887,0.0003469342,0.0002574683,0.000285741],"domain_scores_gemma":[0.9993641,0.00002095029,0.00005178018,0.00007343603,0.0001888212,0.0003008728],"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":[0.0001690164,0.0001917174,0.00009096078,0.00003117841,0.00004099703,0.00003695493,0.0004014867,0.00001717891,0.3084693,0.006442014,0.4167579,0.2673513],"study_design_scores_gemma":[0.0001248334,0.0003714667,0.02274763,0.000005575387,0.000007912015,0.00001429486,0.0002645546,0.0001480053,0.0005054057,0.00008540429,0.9755815,0.0001433707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8423745,0.0002776054,0.000116144,0.01423757,0.00005634502,0.0005893434,0.0007291729,0.002420239,0.139199],"genre_scores_gemma":[0.9973482,0.000040815,0.0000382274,0.001105761,0.0002618156,2.08865e-8,0.0009671199,0.00006123036,0.0001767905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5588236,"threshold_uncertainty_score":0.9897645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.062359833897063,"score_gpt":0.223596263222197,"score_spread":0.161236429325134,"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."}}