{"id":"W6912558676","doi":"10.5281/zenodo.4453177","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003170532,0.0002858935,0.0001541025,0.0005441401,0.0006003727,0.0002472574,0.0002232748,0.0003190445,0.01213981],"category_scores_gemma":[0.00017005,0.0001357906,0.0001037932,0.0003050036,0.000303635,0.0004248974,0.0003668253,0.0003185779,0.002844431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000548445,"about_ca_system_score_gemma":0.0002223824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242946,"about_ca_topic_score_gemma":0.03334748,"domain_scores_codex":[0.9999477,0.000003382904,0.000002436271,0.00002171317,0.0000141008,0.00001078298],"domain_scores_gemma":[0.9999653,0.000007628383,0.00001119282,0.000004063504,0.000005594121,0.000006202086],"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":[0.000554126,0.0001782125,0.05039566,0.0009633423,0.00008615187,0.006368413,0.00313156,0.001845447,0.2132281,0.01211557,0.02226394,0.6888695],"study_design_scores_gemma":[0.00008560542,0.0003730293,0.5176198,0.0002191239,0.00008903151,0.009493403,0.00130519,0.002054728,0.01218029,0.002034267,0.4545054,0.00004022283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5871648,0.006663464,0.005232693,0.0004489828,0.0002599408,0.0001636959,0.002569464,0.0004833274,0.3970136],"genre_scores_gemma":[0.9554161,0.001038189,0.001855084,0.0002901945,0.00004781389,0.00002867371,0.0009882908,0.00002620355,0.04030938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01242946,"threshold_uncertainty_score":0.04061174,"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."}}