{"id":"W2825871937","doi":"10.5539/jas.v10n8p334","title":"A New Approach to Statistical Process Control: Identification of Outliers in Yield Maps","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standard deviation; Control chart; Outlier; Statistical process control; Statistics; Productivity; Set (abstract data type); Control limits; Computer science; Mathematics; Process (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006058383,0.001491877,0.001580488,0.004598958,0.0009079237,0.003270759,0.001705343,0.001141151,0.0009241786],"category_scores_gemma":[0.01583544,0.0004884637,0.001792083,0.002493055,0.001626538,0.001924734,0.001867918,0.0016082,0.0003315763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009816604,"about_ca_system_score_gemma":0.001683896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004227169,"about_ca_topic_score_gemma":0.002711232,"domain_scores_codex":[0.9922322,0.001844362,0.0007216663,0.002240273,0.002678908,0.0002825991],"domain_scores_gemma":[0.9889631,0.005384947,0.001623029,0.001099515,0.002746615,0.0001828275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004594542,0.0004022636,0.02053818,0.0005579058,0.0004725579,0.0004506526,0.001500151,0.1967656,0.03120419,0.03076713,0.001712298,0.7151698],"study_design_scores_gemma":[0.00003944334,0.0002911979,0.007455214,0.00005859675,0.0001140084,0.000264583,0.0002512961,0.9596556,0.01442366,0.01291395,0.004429603,0.0001026555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005285339,0.00007667801,0.9938889,0.0000435534,0.00001845561,0.00004091253,0.00003120301,0.00037472,0.0002402965],"genre_scores_gemma":[0.2161851,0.0002305877,0.7816764,0.00007651622,0.0001179125,0.0002400982,0.0003290512,0.0001771256,0.0009672838],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006058383,"threshold_uncertainty_score":0.03204018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07254192081171536,"score_gpt":0.4028061477336383,"score_spread":0.330264226921923,"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."}}