{"id":"W7098377143","doi":"","title":"1 Farmers and Consultants Receive Training in Spatial Analysis of Yield Monitor Data","year":2015,"lang":"en","type":"article","venue":"","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Griffin; Statistical analysis; Agribusiness; Agriculture; Descriptive statistics; Statistician","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":[],"consensus_categories":[],"category_scores_codex":[0.0003331213,0.00005860271,0.0001871055,0.00005763783,0.00001410715,0.00001684342,0.0001946274,0.00003472003,0.0001317335],"category_scores_gemma":[0.0004103549,0.00004842166,0.000009896742,0.0003530595,0.0001024749,0.0001292979,0.0001147315,0.00003805045,0.000001853361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001303175,"about_ca_system_score_gemma":0.0000685504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007148873,"about_ca_topic_score_gemma":0.000325954,"domain_scores_codex":[0.9993927,0.00002192198,0.0001498573,0.000216801,0.0001135555,0.0001051416],"domain_scores_gemma":[0.9994693,0.0001128739,0.00006106689,0.0002255905,0.00006921128,0.00006190634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008421519,0.00002547008,0.01236548,0.000005324002,0.0000389961,0.000003151349,0.0007591413,0.00001468423,0.9839086,0.000005942081,0.0001078742,0.002681111],"study_design_scores_gemma":[0.0006393472,0.00006686022,0.02273017,0.0000299843,0.0002158227,0.000002781311,0.009290518,0.006217245,0.9603242,0.000122227,0.000151734,0.0002091086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958408,0.00002364786,0.0003141476,0.00004563046,0.00009681192,0.00003734793,0.0001527987,0.000008867089,0.003479959],"genre_scores_gemma":[0.9992511,0.000005197528,0.0006102567,0.00001939588,0.00002482611,0.000001394799,0.0000284908,0.000001751002,0.00005761576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0235844,"threshold_uncertainty_score":0.1974578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15438934106843,"score_gpt":0.3296850921748426,"score_spread":0.1752957511064126,"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."}}