{"id":"W6961052814","doi":"10.1371/journal.pone.0252080.g002","title":"Fig 2 -","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomass (ecology); Legume; Nitrogen; Species richness; Quantile","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004489661,0.0008098111,0.000415853,0.001294544,0.001078379,0.001959795,0.0009349376,0.0008675192,0.6556735],"category_scores_gemma":[0.001976227,0.0003334021,0.001016828,0.001597277,0.0002996161,0.0008992952,0.00069895,0.001039164,0.2488158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104289,"about_ca_system_score_gemma":0.001432941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02904359,"about_ca_topic_score_gemma":0.0409746,"domain_scores_codex":[0.9996225,0.0000507103,0.00001323756,0.0001317103,0.0001175354,0.00006441907],"domain_scores_gemma":[0.9987262,0.0002694697,0.00007680243,0.0002114962,0.0005965107,0.0001195556],"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":[0.0004416847,0.0001381026,0.005813471,0.0005301525,0.00004461466,0.0001038256,0.0002033338,0.001454698,0.002239048,0.00678005,0.9441106,0.03814038],"study_design_scores_gemma":[0.0001584149,0.00009235122,0.0585208,0.0002602928,0.00003193661,0.0001764462,0.0007017564,0.001292399,0.0009875572,0.003414109,0.9343235,0.00004029684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0128864,0.0005212227,0.008064278,0.001770394,0.002592932,0.0006052664,0.6062245,0.00813827,0.3591968],"genre_scores_gemma":[0.092729,0.0006744459,0.01808602,0.002624413,0.0002530282,0.0009434415,0.4819014,0.004931903,0.3978564],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3443265,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04753422224752591,"score_gpt":0.2346445934056844,"score_spread":0.1871103711581585,"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."}}