{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00889044,0.001120435,0.0006846338,0.001266367,0.003621503,0.00343618,0.001953916,0.002936835,0.1989835],"category_scores_gemma":[0.01537272,0.001160684,0.0005813811,0.001995437,0.001062945,0.003544507,0.003749768,0.002006566,0.08451533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003045406,"about_ca_system_score_gemma":0.007791131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006723891,"about_ca_topic_score_gemma":0.02665702,"domain_scores_codex":[0.9925078,0.00195585,0.000452548,0.001222086,0.002585688,0.001276073],"domain_scores_gemma":[0.9753381,0.005561396,0.001493028,0.002621523,0.01051704,0.004468916],"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":[0.0001454585,0.0004470648,0.00870226,0.0002429993,0.000005796343,0.0005167819,0.004962225,0.0003229235,0.003709062,0.002182209,0.7070962,0.271667],"study_design_scores_gemma":[0.0000378659,0.0001628932,0.01112211,0.0001515201,0.000007428403,0.0004938573,0.005062693,0.0003905249,0.0013843,0.001708815,0.979434,0.00004407502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09571563,0.003875679,0.07836899,0.2735666,0.006896184,0.00394655,0.01117463,0.01713706,0.5093186],"genre_scores_gemma":[0.1682452,0.003052321,0.1150083,0.03590172,0.0009524951,0.002265501,0.006076831,0.002055363,0.6664423],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1989835,"threshold_uncertainty_score":0.6656662,"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."}}