{"id":"W6893876590","doi":"10.5281/zenodo.4349904","title":"Hermanniella robusta Ewing 1918","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boreal; Temperate climate; Peat; Natural (archaeology); Litter","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":[0.000214062,0.0004439451,0.0002912062,0.001033909,0.001243377,0.0004786655,0.0004956517,0.0005912278,0.006705111],"category_scores_gemma":[0.0007411361,0.0002533341,0.0001576379,0.000711191,0.0005019095,0.0008812258,0.0007106565,0.0004055061,0.001598444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008105951,"about_ca_system_score_gemma":0.0002194996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01290394,"about_ca_topic_score_gemma":0.03152525,"domain_scores_codex":[0.999779,0.00001525657,0.00002054819,0.00009107319,0.00006367204,0.00003051655],"domain_scores_gemma":[0.9997324,0.00004399478,0.0001105006,0.00002980637,0.00004659235,0.0000366184],"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":[0.000851129,0.0001758681,0.1736739,0.001173132,0.0001877516,0.004797615,0.003208641,0.002261574,0.1192894,0.005578365,0.04295444,0.6458484],"study_design_scores_gemma":[0.000046052,0.0003133065,0.5804107,0.0004315786,0.0001753974,0.005807518,0.001710947,0.0006563567,0.006272528,0.001684008,0.4024332,0.00005840687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7654776,0.008590193,0.003358996,0.0009019412,0.0005226611,0.0001714736,0.00473319,0.0004385103,0.2158054],"genre_scores_gemma":[0.9734097,0.002706418,0.003074604,0.0004218927,0.000183605,0.0000877544,0.001969683,0.00003407922,0.01811235],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01290394,"threshold_uncertainty_score":0.02565765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231129029300019,"score_gpt":0.2022306559370689,"score_spread":0.179117753007067,"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."}}