{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000622867,0.0002235345,0.0002385347,0.000005284258,0.000135004,0.0001478387,0.001863103,0.0001702009,0.3391787],"category_scores_gemma":[0.0009320045,0.00007084099,0.00005900253,0.0001567593,0.000002379451,0.00008380682,0.001394744,0.000317277,0.01347924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001307558,"about_ca_system_score_gemma":0.00001720982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004102465,"about_ca_topic_score_gemma":0.00133906,"domain_scores_codex":[0.9985519,0.00007072609,0.000204942,0.0005940563,0.0003525149,0.0002258748],"domain_scores_gemma":[0.9992714,0.0001079976,0.0001091953,0.0003411713,0.00005372552,0.0001165203],"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":[0.00000966017,0.0001043627,0.000005827303,0.00005333417,0.00002597373,0.00002504076,0.000005059464,2.505618e-8,0.00001671043,8.310367e-9,0.9906707,0.009083271],"study_design_scores_gemma":[0.00006306102,0.0005400166,0.000360268,0.0002498368,0.0000222005,9.513432e-7,0.00006358443,0.000002156944,0.0000235947,6.958521e-7,0.9984367,0.0002368654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009935198,0.0001830108,1.187157e-9,0.0008126102,0.00009842704,0.000516661,0.9982705,0.00004303468,0.00006582441],"genre_scores_gemma":[0.0002421869,0.00001106918,9.449698e-7,0.001682194,0.001026867,0.00009503675,0.9968827,8.779516e-7,0.0000581658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3256995,"threshold_uncertainty_score":0.9872889,"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."}}