{"id":"W6967176549","doi":"10.5061/dryad.n6c67","title":"Data from: What does body size mean, from the “plant's eye view”?","year":2016,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University; Queen's University","funders":"","keywords":"Herbaceous plant; Dry weight; Canopy; Volume (thermodynamics); Dry matter; Ranging","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000771515,0.000550927,0.0005085935,0.00001303329,0.0007408885,0.001093513,0.007519828,0.0002037942,0.0009892614],"category_scores_gemma":[0.00003123519,0.000154019,0.00006187551,0.0001883771,0.0002123658,0.001066855,0.007927032,0.0004325548,0.0001215605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001296881,"about_ca_system_score_gemma":0.00001125367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02056739,"about_ca_topic_score_gemma":0.1812086,"domain_scores_codex":[0.9961254,0.0004816678,0.0004814338,0.001914041,0.000446005,0.000551462],"domain_scores_gemma":[0.9955507,0.001343359,0.0003747986,0.002519637,0.00002485605,0.0001866654],"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":[0.00006291938,0.00005570073,0.0001399615,0.00004184363,0.0002171591,0.00001086063,0.00007049648,7.065565e-7,0.0004370444,0.000003953407,0.9507387,0.0482206],"study_design_scores_gemma":[0.0001441541,0.00003009862,0.006890628,0.0007311137,0.0002448279,0.000001813549,0.0008390223,0.0004183297,0.000007018954,0.0002675908,0.9899574,0.0004680122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006704088,0.003749531,0.000005159708,0.004621169,0.001848027,0.0002892369,0.9826471,0.00009451639,0.00004123985],"genre_scores_gemma":[0.000607056,0.0537862,0.00006127753,0.002421564,0.004893546,0.00001589272,0.937893,0.000004952041,0.0003165198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1606412,"threshold_uncertainty_score":0.9999434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170922031308007,"score_gpt":0.239994708304782,"score_spread":0.2082854879917019,"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."}}