{"id":"W2207096113","doi":"10.6084/m9.figshare.1177082.v1","title":"Grassland Quadrat Samples","year":2014,"lang":"en","type":"article","venue":"Figshare","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quadrat; Grassland; Environmental science; Forb; Geography; Remote sensing; Forestry; Agronomy; Ecology; Transect; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004890243,0.0004426141,0.0004055763,0.001573304,0.001686295,0.0006564288,0.0006664914,0.0003343885,0.0143734],"category_scores_gemma":[0.001312295,0.0003038899,0.0002911396,0.002805103,0.0003884281,0.0001966107,0.0006670497,0.0002262231,0.002885152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003914567,"about_ca_system_score_gemma":0.002919178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5780019,"about_ca_topic_score_gemma":0.8973373,"domain_scores_codex":[0.9992173,0.0001003224,0.00005287262,0.0002242885,0.0002790442,0.0001261167],"domain_scores_gemma":[0.9981784,0.00007161066,0.000205442,0.0002002665,0.00115306,0.0001911848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008229785,0.0005171717,0.765092,0.0008178714,0.0001125278,0.001284385,0.008393052,0.001481566,0.02607563,0.001368675,0.05405144,0.1399827],"study_design_scores_gemma":[0.00003313436,0.000125699,0.9593353,0.00004366742,0.00001709807,0.00007515329,0.001942603,0.0003046395,0.0006738157,0.00008053197,0.03735259,0.00001589407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7361602,0.0005247206,0.007858551,0.000182335,0.00007707699,0.009636463,0.1940762,0.0003223102,0.05116218],"genre_scores_gemma":[0.7867746,0.0004755179,0.03290792,0.0004801679,0.00004464211,0.009575342,0.1196032,0.0001762719,0.04996227],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5780019,"threshold_uncertainty_score":0.8489667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733841607729027,"score_gpt":0.2058097364564289,"score_spread":0.1884713203791386,"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."}}