{"id":"W1907375724","doi":"10.1111/2041-210x.12491","title":"The Universal Floristic Quality Assessment (<scp>FQA</scp>) Calculator: an online tool for ecological assessment and monitoring","year":2015,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Calculator; Transect; Resource (disambiguation); Computer science; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004141944,0.000116716,0.0002007796,0.0000312071,0.0005186266,0.00001689044,0.00009732266,0.0001842685,0.000003721023],"category_scores_gemma":[0.0008380984,0.00009161687,0.0000237344,0.0000849424,0.0004298631,0.0001575178,0.0001838439,0.0002231314,0.000001391089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006615607,"about_ca_system_score_gemma":0.000044111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005893656,"about_ca_topic_score_gemma":0.001802907,"domain_scores_codex":[0.9979581,0.001095019,0.0002663386,0.0003114819,0.00008519942,0.0002838447],"domain_scores_gemma":[0.9973423,0.00232499,0.0001073044,0.0001205153,0.00002699334,0.0000778646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001367622,0.000135518,0.986934,0.000005113905,0.00001677854,0.000001335278,0.0002467052,0.001636463,0.0001391942,0.007788539,0.00003887103,0.003043814],"study_design_scores_gemma":[0.0005935194,0.0003161368,0.9187772,0.000001653456,0.0000244363,0.000003751326,0.001685021,0.05085897,0.000004125572,0.02731327,0.0003655643,0.00005630363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9219503,0.00008438119,0.07640842,0.0002427879,0.0006582133,0.0002959438,0.000006220675,0.00002080856,0.0003328614],"genre_scores_gemma":[0.809873,0.00007106557,0.1897765,0.00003733239,0.00004643169,0.00007138996,0.000006855238,0.000004299362,0.0001130992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1133681,"threshold_uncertainty_score":0.3988909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09297517641894582,"score_gpt":0.4330581529934106,"score_spread":0.3400829765744647,"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."}}