{"id":"W6950154350","doi":"10.5281/zenodo.5931162","title":"Trouessartia cryptocaudata Mironov & Galloway 2019, sp. n.","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Dorsum; Anterior surface; Margin (machine learning); Holotype","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":[0.00009138728,0.0004370642,0.0002425164,0.001010955,0.0008208413,0.0002365094,0.0005626396,0.0002212229,0.009301555],"category_scores_gemma":[0.0001951496,0.0002143079,0.0001983765,0.000540423,0.0005379372,0.0005705305,0.0006730331,0.000392259,0.001976736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005136497,"about_ca_system_score_gemma":0.0004047104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04486792,"about_ca_topic_score_gemma":0.1244773,"domain_scores_codex":[0.9999436,0.000002689455,0.00000377885,0.00002352201,0.00001323392,0.00001306684],"domain_scores_gemma":[0.9999411,0.000008244133,0.00002423028,0.000007198276,0.00001136805,0.000007875502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006661288,0.0001202377,0.05397085,0.00106263,0.0001299816,0.004681731,0.002776025,0.0009065176,0.08238616,0.006615043,0.0159866,0.8306981],"study_design_scores_gemma":[0.0001539659,0.0002661731,0.6360052,0.0004761001,0.0001500835,0.00726527,0.002218063,0.0008729718,0.004812439,0.001082612,0.3466523,0.00004482307],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6267325,0.01019777,0.005377044,0.0005542306,0.0002937675,0.0007324676,0.003124668,0.0009116763,0.3520758],"genre_scores_gemma":[0.9619144,0.002266169,0.002141227,0.000255114,0.00005764122,0.0001570972,0.001570304,0.00005683901,0.03158128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04486792,"threshold_uncertainty_score":0.08921355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807296205036138,"score_gpt":0.2258695828461863,"score_spread":0.2077966207958249,"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."}}