{"id":"W4285608936","doi":"10.1080/07060661.2022.2076342","title":"Canadian plant disease survey 2022 volume 102: disease highlights 2021","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Plant Pathology","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Disease; Plant disease; Environmental science; Medicine; Biology; Internal medicine; Biotechnology; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000802815,0.0008659394,0.0005453044,0.005141733,0.001867098,0.001553957,0.001000356,0.0008139679,0.04016646],"category_scores_gemma":[0.001914075,0.0003631444,0.0005890505,0.009438835,0.0002908683,0.0003512269,0.0006628525,0.000744462,0.007305419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01886122,"about_ca_system_score_gemma":0.07008121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905772,"about_ca_topic_score_gemma":0.9952395,"domain_scores_codex":[0.9987975,0.00004322741,0.00003375582,0.00008421584,0.0008352163,0.000205977],"domain_scores_gemma":[0.9964052,0.0001555046,0.0001173131,0.00006036636,0.002554583,0.000706961],"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":[0.00006471876,0.00002288039,0.007051494,0.0004166306,0.0000235653,0.00004833916,0.00005872883,0.0001465133,0.000414978,0.0004200947,0.968287,0.02304503],"study_design_scores_gemma":[0.0000276732,0.00001753982,0.148155,0.0001390258,0.00003914658,0.00005978164,0.0002431282,0.0002499678,0.0003346075,0.0000924627,0.8506132,0.00002840916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01859698,0.01254923,0.0009763804,0.01723035,0.003009179,0.0005389103,0.7849633,0.001164645,0.160971],"genre_scores_gemma":[0.07679741,0.02626408,0.003679099,0.006982683,0.0007003444,0.0003069,0.5055913,0.0003749587,0.3793032],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04016646,"threshold_uncertainty_score":0.1368484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290919765981342,"score_gpt":0.1773043066542365,"score_spread":0.1643951089944231,"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."}}