{"id":"W6949546690","doi":"10.5281/zenodo.3664788","title":"Paramyia pseudonitens Levesque-Beaudin & Mlynarek 2020, new species","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":"","funders":"","keywords":"Pedicel; Seta; Femur; Apex (geometry); Dorsum","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":[0.0002118074,0.0005318649,0.0004409866,0.001138628,0.001343601,0.0004785686,0.00100663,0.0005414624,0.01046933],"category_scores_gemma":[0.0004271367,0.0002267507,0.0002641348,0.0006439252,0.0006785347,0.00142341,0.001030928,0.0009043601,0.003234213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004625473,"about_ca_system_score_gemma":0.000444847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004860475,"about_ca_topic_score_gemma":0.009763842,"domain_scores_codex":[0.9998317,0.00001405319,0.00001968794,0.00006594795,0.00005525544,0.00001331682],"domain_scores_gemma":[0.9998668,0.00002724076,0.00003833687,0.00001550553,0.0000364105,0.00001560617],"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":[0.0006159405,0.0001587539,0.01880407,0.001773164,0.0001054413,0.003070069,0.001420336,0.001398168,0.02259778,0.004534247,0.02000607,0.9255159],"study_design_scores_gemma":[0.0004059279,0.0007905159,0.3268605,0.001010824,0.000176258,0.02173527,0.002005207,0.002394613,0.003264335,0.004395655,0.6368794,0.0000815324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4712181,0.06862388,0.03039981,0.002295574,0.002942925,0.001762362,0.01287676,0.002108361,0.4077723],"genre_scores_gemma":[0.93238,0.01083787,0.01432689,0.0009559126,0.0006244021,0.000481143,0.005265914,0.00007111066,0.0350568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01046933,"threshold_uncertainty_score":0.03502333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07337328548426722,"score_gpt":0.2266299732397141,"score_spread":0.1532566877554469,"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."}}