{"id":"W4394488158","doi":"10.6084/m9.figshare.1177082","title":"Grassland Quadrat Samples","year":2014,"lang":"en","type":"dataset","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; Geography; Environmental science; Forestry; Agroforestry; Ecology; Biology; Transect","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":[0.0007680251,0.001024226,0.0007826169,0.002609375,0.001078538,0.001110849,0.001746136,0.0008908491,0.0303473],"category_scores_gemma":[0.003658009,0.0005231919,0.0006492018,0.005627887,0.0003968569,0.00051713,0.001161786,0.0007217591,0.01964669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003497672,"about_ca_system_score_gemma":0.003681672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3885378,"about_ca_topic_score_gemma":0.7109873,"domain_scores_codex":[0.9991243,0.0001109509,0.00007946197,0.0002709619,0.0002665866,0.0001477993],"domain_scores_gemma":[0.9977642,0.0002235886,0.000236256,0.000430194,0.001145453,0.0002003958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000131619,0.00006350159,0.02351323,0.0008243234,0.00006786438,0.0001205543,0.0003296651,0.0007447884,0.0004637883,0.001086371,0.9630952,0.009559243],"study_design_scores_gemma":[0.0001634578,0.00002399548,0.08869556,0.000337746,0.00004162349,0.00006940812,0.0006924244,0.0007698067,0.0004146092,0.0006098963,0.9081382,0.00004325719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001916563,0.00006996645,0.0001518961,0.00003941525,0.00001341136,0.00006034367,0.9962294,0.0001112961,0.001407778],"genre_scores_gemma":[0.004175653,0.00004785729,0.0008522248,0.00002992027,0.000005376157,0.0002927014,0.9926559,0.00005068829,0.001889724],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3885378,"threshold_uncertainty_score":0.7725524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218132360173637,"score_gpt":0.2289553376659363,"score_spread":0.2071421016485726,"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."}}