{"id":"W6893751769","doi":"10.5281/zenodo.4376181","title":"Agrostis canina Linnaeus 1753","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agrostis; Genus; Type (biology); Taxonomy (biology); Nomenclature","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":[0.0001778572,0.001001054,0.0004356067,0.002999693,0.002356192,0.0005778158,0.0009472494,0.0005741491,0.02042843],"category_scores_gemma":[0.0003243752,0.0001901437,0.0001577081,0.002120724,0.0005442358,0.001384238,0.001360914,0.0007508189,0.01160328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580783,"about_ca_system_score_gemma":0.0005805488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04129103,"about_ca_topic_score_gemma":0.1209406,"domain_scores_codex":[0.9997773,0.00002299307,0.00001115581,0.00008373917,0.00007455257,0.00003015435],"domain_scores_gemma":[0.9998614,0.00001853307,0.00003127562,0.00001702225,0.00005093036,0.00002088504],"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":[0.0003498768,0.000137023,0.008916455,0.0005517683,0.00006321318,0.001295115,0.001372778,0.0007963329,0.02104149,0.01672007,0.0871515,0.8616044],"study_design_scores_gemma":[0.00002428996,0.00004256875,0.02101619,0.0001221719,0.00002828055,0.0009498716,0.0004240754,0.0001136879,0.001089425,0.00211229,0.9740545,0.0000227598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04263801,0.01638103,0.003309656,0.001374789,0.001163111,0.000400793,0.005134237,0.0009057494,0.9286926],"genre_scores_gemma":[0.5279797,0.01610673,0.01135791,0.004447255,0.0005325681,0.0004013059,0.0188068,0.0003501208,0.4200176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04129103,"threshold_uncertainty_score":0.0821014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03988622400551191,"score_gpt":0.213422303068959,"score_spread":0.1735360790634471,"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."}}