{"id":"W2524934719","doi":"10.6084/m9.figshare.3850782.v1","title":"A Survey of the Vegetative Abundance, Diversity and Cover in Grasslands using Quadrat Measurements","year":2016,"lang":"en","type":"article","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); Diversity (politics); Geography; Ecology; Grassland; Forestry; Environmental science; Biology; Transect; Engineering; Sociology; Anthropology","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":[0.0001898377,0.00004357713,0.00006241313,0.000009295873,0.0001732037,0.000002872673,0.000174276,0.00003161678,0.008930799],"category_scores_gemma":[0.0003995932,0.00002424351,0.00001037596,0.0001446964,0.00004448147,0.0001524512,0.0005634818,0.0000335523,0.000111539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000569122,"about_ca_system_score_gemma":0.000009857084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004591146,"about_ca_topic_score_gemma":0.004707493,"domain_scores_codex":[0.9994612,0.00009563528,0.00005977571,0.0001227692,0.000151831,0.0001087327],"domain_scores_gemma":[0.9997252,0.0001171145,0.00005307588,0.00007282862,0.000008006719,0.00002381692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005032348,0.000008605092,0.9971639,0.000002502397,0.000001408644,9.426392e-7,0.0001935603,0.0000353405,0.00089597,2.571543e-7,0.001573106,0.0001193813],"study_design_scores_gemma":[0.0001578952,0.000007713066,0.9985678,0.0001170745,9.939207e-7,8.914229e-7,0.000003051717,0.0001923841,0.0008088971,0.00003313702,0.00006938372,0.00004077569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921647,0.00001214699,0.000001275716,0.00001681926,0.00002143979,0.00006566267,0.006569695,0.00000227182,0.001146044],"genre_scores_gemma":[0.9998344,8.046023e-7,0.000005080893,0.00003836853,0.000001233181,0.000001967054,0.00004575119,0.000001055978,0.00007138812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00881926,"threshold_uncertainty_score":0.9919752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115695846190673,"score_gpt":0.2527253160718576,"score_spread":0.1411557314527904,"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."}}