{"id":"W4318328604","doi":"10.24394/natsom.2009.13.9","title":"Nagygomba-felmérés Gyűrűfű környékén","year":2009,"lang":"en","type":"article","venue":"Natura Somogyiensis","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Taxon; Biodiversity; Biology; Global biodiversity; Ecology; Forestry; Botany; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001177525,0.0001583386,0.0002005599,0.00001734762,0.0005055022,0.00003391074,0.0002480272,0.0002256849,0.000462257],"category_scores_gemma":[0.00009312602,0.00005924041,0.0001316564,0.0003433419,0.0001146792,0.0001332992,0.00007370281,0.000229354,0.0003630682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002757412,"about_ca_system_score_gemma":0.000004560027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004052015,"about_ca_topic_score_gemma":0.0002121062,"domain_scores_codex":[0.9989628,0.000037625,0.0001368024,0.0003140176,0.0001732241,0.0003754829],"domain_scores_gemma":[0.9995796,0.0001185357,0.00005801323,0.00005913762,0.00009938113,0.00008531023],"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":[0.000285731,0.0006658603,0.2145919,0.000007780547,0.0001756829,0.000209842,0.0006657878,0.000004595189,0.06231113,0.007990599,0.2042296,0.5088615],"study_design_scores_gemma":[0.0001595299,0.0003701032,0.9157854,0.000005786363,0.00002298774,0.00001701922,0.0002366011,0.00001003647,0.001300703,0.001759877,0.08010196,0.0002300571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838534,0.0004287989,2.883099e-7,0.01049959,0.0003387865,0.0001124539,0.00002332449,0.0001496083,0.004593774],"genre_scores_gemma":[0.9947526,0.00007800806,0.0001538586,0.003966563,0.000205276,0.000001540117,0.00003610774,3.377112e-7,0.0008057026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7011935,"threshold_uncertainty_score":0.506139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111671455878277,"score_gpt":0.195659435022361,"score_spread":0.1844922894345333,"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."}}