{"id":"W6949730131","doi":"10.5281/zenodo.3794045","title":"Phaenoglyphis villosa","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Villosa; Holotype; Pedicel; Vicia villosa","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":[0.00004659275,0.0004451556,0.0001531319,0.0008648883,0.0009883727,0.0003142752,0.0003045814,0.0003695949,0.0111487],"category_scores_gemma":[0.0001647378,0.0001251775,0.0001231395,0.0004170241,0.0004094745,0.0004931382,0.0006006019,0.0003514205,0.002973752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319786,"about_ca_system_score_gemma":0.0002401002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006608929,"about_ca_topic_score_gemma":0.00937157,"domain_scores_codex":[0.9999326,0.000008113132,0.000004152766,0.00002298356,0.00001807613,0.00001398924],"domain_scores_gemma":[0.9999721,0.000003840177,0.000009374638,0.000003260876,0.0000062387,0.000005212222],"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":[0.0007971256,0.0001867757,0.05581116,0.001021202,0.00007290005,0.005503914,0.00320567,0.001680053,0.1290894,0.02784,0.02330049,0.7514914],"study_design_scores_gemma":[0.00009597555,0.0006151917,0.3775657,0.0005617159,0.00009850429,0.01076806,0.002584593,0.00110845,0.008404926,0.005378408,0.5927709,0.00004751356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5117802,0.009886025,0.006179788,0.0004827013,0.0005214646,0.0003924018,0.002473363,0.0007363929,0.4675477],"genre_scores_gemma":[0.9547703,0.002462943,0.002766191,0.0002940501,0.0001358521,0.00007127272,0.001205451,0.00002935042,0.03826458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0111487,"threshold_uncertainty_score":0.03729612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05962022262275012,"score_gpt":0.2064376278958532,"score_spread":0.1468174052731031,"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."}}