{"id":"W4394438218","doi":"10.6084/m9.figshare.1558285.v2","title":"The Study of Plant Distribution and Abundance Using Quadrats in the Grasslands of York University","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quadrat; Abundance (ecology); Distribution (mathematics); Geography; Grassland; Ecology; Forestry; Biology; Mathematics","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":[0.0008908699,0.0008284777,0.0007581385,0.002610527,0.0006527375,0.0008171202,0.001277813,0.0006391366,0.01216457],"category_scores_gemma":[0.003300902,0.0004583136,0.0006738157,0.004188972,0.0003036026,0.0006350185,0.001269271,0.0007555201,0.005718682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346802,"about_ca_system_score_gemma":0.001441377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1523439,"about_ca_topic_score_gemma":0.3289165,"domain_scores_codex":[0.9993477,0.0001231744,0.0000719663,0.0002353214,0.0001238092,0.00009807046],"domain_scores_gemma":[0.9987177,0.000300949,0.0002187053,0.0002398505,0.000351257,0.0001716647],"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":[0.0006119593,0.0002243554,0.1517642,0.002479362,0.0005559397,0.0003553968,0.0008585443,0.002208598,0.002099311,0.001444734,0.8145589,0.0228387],"study_design_scores_gemma":[0.0004994419,0.00007762552,0.5062687,0.0004644136,0.0001041498,0.0001654978,0.0009846133,0.003357718,0.0007939124,0.0004741131,0.4867364,0.00007342654],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01967356,0.0002612934,0.0002786299,0.00007334492,0.00003489574,0.00006997093,0.9783173,0.0003036319,0.0009873224],"genre_scores_gemma":[0.01987518,0.00009247081,0.001438402,0.00002835245,0.00001133521,0.0003450862,0.9768142,0.00005747467,0.001337358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8476561,"threshold_uncertainty_score":0.3029144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0780322633272621,"score_gpt":0.2366681706936173,"score_spread":0.1586359073663552,"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."}}