{"id":"W4394514166","doi":"10.6084/m9.figshare.3850782","title":"A Survey of the Vegetative Abundance, Diversity and Cover in Grasslands using Quadrat Measurements","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quadrat; Abundance (ecology); Cover (algebra); Geography; Diversity (politics); Grassland; Ecology; Forestry; Biology; Transect; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002888536,0.0001183494,0.0001714954,0.00002482347,0.0002768761,0.000007489411,0.0005048747,0.0001413542,0.02350639],"category_scores_gemma":[0.0006349874,0.00007492934,0.00002362174,0.0001955428,0.0000729989,0.0001400288,0.001689901,0.0001487997,0.0002743834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001176427,"about_ca_system_score_gemma":0.00003202927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00223653,"about_ca_topic_score_gemma":0.02107637,"domain_scores_codex":[0.998929,0.0002032224,0.0001206959,0.0002556505,0.0003107594,0.0001806922],"domain_scores_gemma":[0.9993998,0.000173347,0.000178947,0.0001955098,0.00001312496,0.00003925295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000006233251,0.00001352074,0.1876693,0.00001858528,0.000004339619,0.000003431459,0.00004116266,0.00002061991,0.00001067144,1.078179e-8,0.8121967,0.0000153372],"study_design_scores_gemma":[0.0001650055,0.00001175655,0.9682184,0.000478568,0.000005805473,0.000001939855,0.000001523707,0.0000391729,0.00002987629,0.000009932737,0.03092615,0.000111799],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01983695,0.00002878098,7.150776e-8,0.00000489915,0.00006091516,0.0001311452,0.9797772,0.000001741554,0.0001583616],"genre_scores_gemma":[0.09334642,0.000006279491,0.000001413291,0.00006440568,0.000004937894,0.000006085673,0.9065228,0.000002270005,0.00004546234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7812706,"threshold_uncertainty_score":0.9967864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047514140047611,"score_gpt":0.2671107450709202,"score_spread":0.1623593310661591,"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."}}