{"id":"W2052475465","doi":"10.1080/07060661.2011.563753","title":"Development and validation of a disease forecast model for Sclerotinia rot of carrot","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plant Pathology","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph; Simon Fraser University","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Sclerotinia sclerotiorum; Ascocarp; Sclerotinia; Fungicide; Biology; Canopy; Crop; Agronomy; Horticulture; Water content; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008923328,0.0007534174,0.0005730792,0.0003224384,0.0004006895,0.0006350623,0.0006688528,0.0007117467,0.001029532],"category_scores_gemma":[0.001162772,0.0003328853,0.0004510025,0.000117867,0.0002381749,0.0002967935,0.0003542813,0.0006810818,0.0002338645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009274071,"about_ca_system_score_gemma":0.001338491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04829729,"about_ca_topic_score_gemma":0.01802208,"domain_scores_codex":[0.9998392,0.00004221981,0.00001472382,0.00004481341,0.00003221098,0.00002675288],"domain_scores_gemma":[0.9995139,0.0002061823,0.00005684162,0.00001815995,0.000171201,0.00003373891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007414598,0.00005164218,0.003336249,0.00002292263,0.00002641501,0.00004845651,0.00001809833,0.9854998,0.002874643,0.0001052331,0.0001016915,0.007840613],"study_design_scores_gemma":[0.000003781318,0.00002457457,0.0003640309,0.000001666961,0.000004157658,0.000002263335,0.000003093232,0.9990255,0.0005031335,0.00002580024,0.00004017233,0.000001847712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.830507,0.000228483,0.1648542,0.0002212356,0.00006995877,0.0001789606,0.0004220323,0.00145749,0.002060434],"genre_scores_gemma":[0.9857821,0.00004445306,0.01301754,0.00001620634,0.000004903812,0.00009507017,0.0002210188,0.0000115058,0.000807084],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04829729,"threshold_uncertainty_score":0.09603232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06292187015847629,"score_gpt":0.1932990581565459,"score_spread":0.1303771879980696,"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."}}