{"id":"W6931669128","doi":"10.5281/zenodo.6003405","title":"Megachile (Xanthosarus) perihirta Cockerell 1898","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxonomy (biology); Single specimen; Fauna; Genus","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":[0.00008260713,0.0003535107,0.0001527377,0.0008176001,0.0006676157,0.0001859752,0.0002940945,0.0002976964,0.01171051],"category_scores_gemma":[0.0001607578,0.0001427237,0.00006844715,0.0004713336,0.0002812058,0.0004657542,0.000384604,0.0002691438,0.002327768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002952351,"about_ca_system_score_gemma":0.00009619299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007701016,"about_ca_topic_score_gemma":0.04252475,"domain_scores_codex":[0.9999373,0.000006077104,0.000007174919,0.00002307709,0.00001773917,0.000008669424],"domain_scores_gemma":[0.9997748,0.00002927356,0.0001248903,0.00001322223,0.00002863544,0.00002926546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001015351,0.0002044787,0.35126,0.001245888,0.0001115329,0.004515326,0.002547764,0.0003897454,0.08230602,0.001461165,0.03162951,0.5233132],"study_design_scores_gemma":[0.00003177721,0.0002011926,0.9579366,0.0002316722,0.00003469111,0.00290277,0.0007834049,0.0001200222,0.001291231,0.00009874233,0.0363568,0.00001111998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8667926,0.006850767,0.001473004,0.0003954006,0.0001544237,0.0001302786,0.002888845,0.0002395517,0.1210751],"genre_scores_gemma":[0.9852695,0.00152892,0.002283099,0.000182638,0.00007181829,0.00006605304,0.001070095,0.00001402119,0.009513942],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01171051,"threshold_uncertainty_score":0.03917563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034232711575774,"score_gpt":0.2712477575326073,"score_spread":0.2409054304168495,"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."}}