{"id":"W6958343083","doi":"10.6084/m9.figshare.13113929.v1","title":"BIOL 3250 Field study data","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quadrat; National park; Population; Sampling (signal processing); Weed; Population density; Field (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":[0.003345472,0.0009151585,0.0009420858,0.006929084,0.001382779,0.001997733,0.002656461,0.0009150587,0.2462903],"category_scores_gemma":[0.01004986,0.0007020279,0.0004035906,0.009163507,0.0006718734,0.001713579,0.002132398,0.001023059,0.1287846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002020233,"about_ca_system_score_gemma":0.003381933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02055762,"about_ca_topic_score_gemma":0.04143469,"domain_scores_codex":[0.9972178,0.0004925029,0.0006435374,0.0006242975,0.0007893957,0.0002326093],"domain_scores_gemma":[0.9882671,0.002420686,0.001555121,0.001849537,0.005259939,0.0006476848],"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":[0.0002112425,0.0001495014,0.01311455,0.001163069,0.00001804694,0.0001274661,0.0008532015,0.0002185494,0.0004665133,0.003276444,0.9314296,0.04897166],"study_design_scores_gemma":[0.00006697556,0.00004831204,0.02485313,0.0004134747,0.00001155248,0.00009462107,0.001200902,0.0001371375,0.000182696,0.0009045185,0.9720606,0.00002619656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003843968,0.0001532993,0.001864178,0.000212265,0.0001076774,0.002093373,0.9402064,0.0004412465,0.05107765],"genre_scores_gemma":[0.01161105,0.0003133425,0.00924748,0.000802563,0.00007954996,0.01364897,0.9207564,0.0003498119,0.04319084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2462903,"threshold_uncertainty_score":0.823923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2816828422734056,"score_gpt":0.2870443005067728,"score_spread":0.0053614582333672,"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."}}